Abstract
The 2015 consensus statement published by the ISMRM Perfusion Study Group and the EU COST Action ‘ASL in Dementia’ aimed to encourage the implementation of robust Arterial Spin Labeling (ASL) perfusion MRI for clinical applications and promote consistency across scanner types, sites, and studies. Subsequently, the recommended 3D pseudo-continuous ASL sequence has been implemented by most major MRI manufacturers. However, ASL remains a rapidly and widely developing field, leading inevitably to further divergence of the technique and its associated terminology, which could cause confusion and hamper research reproducibility.
On behalf of the ISMRM Perfusion Study Group, and as part of the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI), the ASL Lexicon Task Force has been working on the development of an ‘ASL Lexicon and Reporting Recommendations’ for perfusion imaging and analysis, aiming to 1) develop standardized, consensus nomenclature and terminology for the broad range of ASL imaging techniques and parameters, as well as for the physiological constants required for quantitative analysis, and 2) provide a community-endorsed recommendation of the imaging parameters that we encourage authors to include when describing ASL methods in scientific reports/articles.
In this manuscript, the sequences and parameters in (pseudo-)continuous ASL, pulsed ASL, velocity-selective ASL and multi-timepoint ASL for brain perfusion imaging are included. However, the content of the lexicon is not intended to be limited to these techniques, and this paper provides the foundation for a growing online inventory that will be extended by the community as further methods and improvements are developed and established.
Keywords: Arterial Spin Labeling, Reproducibility, Interoperability, Perfusion Imaging, Non-invasive
1. Introduction
Following the consensus statement for the recommended implementation of arterial spin labeling (ASL) perfusion MRI for clinical application in the brain 1 by the Perfusion Study Group (SG) of the International Society for Magnetic Resonance in Medicine (ISMRM) and the European Consortium for ASL in Dementia (COST Action BM1103) in 2014 (referred to hereafter as the ‘ASL White Paper’), standardized ASL perfusion imaging sequences have now been implemented by the majority of MRI manufacturers. Recommended acquisition protocols and the increased availability of ASL imaging sequences have encouraged the use of ASL in clinical applications 2. However, ASL remains a rapidly and widely developing field, both in terms of improving the accuracy and precision of cerebral blood flow (CBF) quantification via advances in pulse sequence and post-processing methods, and providing other output derivatives in addition to CBF (e.g., arterial transit times). These advances have greatly expanded the scope of ASL, but also bring further divergence of the technique, particularly in the terminology used, which can lead to confusion and hamper interoperability. In addition, motivated by the non-invasive nature of ASL, there is an increased number of large cohort studies that adopt ASL perfusion imaging, such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI3; http://adni.loni.usc.edu/adni-3/) and some branches of the Human Connectome Project 3, in which data are acquired from multiple sites using different MRI scanners. To maximize the usefulness of these data, guidelines for consistent reporting of image acquisition parameters are essential.
As part of the ISMRM Open Science Initiative for Perfusion Imaging (ISMRM OSIPI, referred to hereafter as “OSIPI”), an initiative and activity of the ISMRM Perfusion SG, the ASL Lexicon Task Force has been working on the development of an ASL Lexicon and Reporting Recommendation for Perfusion Imaging and Analysis. The purpose of the ASL lexicon is to develop standardized nomenclature and terminology for the broad range of ASL imaging techniques and parameters, as well as for the physiological constants required for quantitative analysis. However, this ASL lexicon does not provide recommended standard ASL implementations and optimal parameter values, which is the remit of the other parallel recommendations/guidelines, and the readers are directed to those, such as the ‘ASL White Paper’ for a standard ASL implementation and processing approach, and its recent extensions for up-to-date summaries of more specific ASL techniques and developments (see the following subsection “1.1 Previous efforts on ASL standardization relevant to the development of ASL Lexicon and Reporting Recommendation”). Instead, ASL lexicon aims to provide harmonization across documentation, reports and publications, by standardizing the terminology and parameter definitions, which is beyond the scope of the ‘ASL White Paper’ and the others. In addition, the developed ASL lexicon is intended to form a common, community-endorsed recommendation for reporting of ASL perfusion imaging, providing a list describing which parameters in acquisition protocols should be reported by investigators and how, aiming to improve the interoperability and comparability of reported studies.
In summary, this article is primarily intended to provide:
A lexicon for researchers/developers of ASL sequences and analysis tools to conform to the community-based consensus recommendation, to avoid misunderstandings caused by diverse terminologies and inconsistent definitions.
A reporting guideline for researchers using ASL sequences and analysis tools to find how their ASL studies and results should be documented and reported, which should make their studies more widely understandable and reproducible.
Within the OSIPI framework, an overarching aim of this article is to enable researchers and developers to use openly available datasets (e.g., data repositories) without ambiguity relating to the acquisition parameters used.
1.1. Previous efforts on ASL standardization relevant to the development of ASL Lexicon and Reporting Recommendation
A consensus statement of recommended implementations of ASL perfusion imaging for clinical applications (‘ASL White Paper 1’), published by an expert group of members of the ISMRM Perfusion SG and the European Consortium for ASL in Dementia (European Cooperation in Science and Technology (EU-COST) Action BM1103).
Brain Image Data Structure (BIDS) extension for ASL 4 (which is referred to as ‘ASL-BIDS’ in this article): A community effort to standardize how to organize and share neuroimaging datasets, which was extended to include ASL in 2021 (https://bids-specification.readthedocs.io/en/stable/04-modality-specific-files/01-magnetic-resonance-imaging-data.html#arterial-spin-labeling-perfusion-data).
Technical recommendations for renal ASL 5 from an international group of experts working under the framework of the PARENCHIMA project, funded by the EU COST Action CA16103 (referred to here as ‘PARENCHIMA renal ASL’).
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A series of extensions to the 2015 ASL White Paper (referred to as the ‘ASL Grey Papers’ in this article) on the following topics:
Velocity-selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation 6
Recent Technical Developments in ASL: A Review of the State of the Art 7
Current state and guidance on arterial spin labeling perfusion MRI in clinical neuroimaging 2
Update on state-of-the-art for arterial spin labeling (ASL) human perfusion imaging outside of the brain 8
Quantitative Cerebral Perfusion MRI using Multi-timepoint Arterial Spin Labeling: Recommendations and Clinical Applications (in preparation)
1.2. Development process of ASL Lexicon and Reporting Recommendation
The ASL Lexicon task force consists of eleven Perfusion SG members with diverse expertise in ASL imaging, who attended the launch events of OSIPI during and after the annual ISMRM meeting in 2019 and expressed their interest to contribute. The developmental process of the ASL Lexicon and Reporting Recommendation was as follows:
Stage 1 (June 2020 - May 2021):
Previously published ASL papers were reviewed by the task force members and comprehensive lists of ASL techniques, acquisition parameters, output derivatives, and physiological parameters required for quantification were compiled. Terminology was harmonized with other community efforts, as mentioned above. The Reporting Recommendation was also drafted based on the BIDS extension for ASL 4, consisting of two recommendation levels:
Required: essential for meaningful interpretation of the ASL data and for quantitative analysis. These must be included in an ASL publication in order for its data set to be ‘OSIPI compliant’.
Recommended: parameters that are useful for interpretation of the ASL data and could explain specific characteristics or systematic differences between data sets. Authors are encouraged to include as many of these as possible in ASL publications.
Stage 2 (June — July 2021):
a separate and independent expert panel provided feedback and comments on the Stage 1 draft. These experts are all currently involved with the development of a new set of ASL consensus review articles (the ‘ASL Grey Papers’; please see the previous subsection “1.2 Previous efforts on ASL standardization relevant to the development of ASL Lexicon and Reporting Recommendation”). Based on their feedback, an updated Stage 2 draft was generated.
Stage 3 (June — October 2021):
A manufacturer survey was carried out with the major MRI scanner manufacturers (in alphabetical order: Canon, Fujifilm, GE, Philips, and Siemens) to identify any potential conflicts or incompatible terminologies and definitions with their current ASL product implementation. In addition, information was requested relating to if/how the acquisition parameters listed in the reporting recommendation can be obtained via the graphical user interface (GUI) of the commercial MRI scanners.
Stage 4 (November 2021 - January 2022):
The draft document was shared with all members of the ISMRM Perfusion SG for general feedback and comments. Also, a survey was enclosed so that they could indicate if they agreed with the drafted Reporting Recommendation categories with regard to the ASL acquisition parameters. In the survey, the responders were provided with four options for each ASL acquisition parameter listed in the recommendation:
Yes, I think “Required/Recommended” is the appropriate category for parameter “xxx”
No, the parameter “xxx” should be in another category (i.e. Recommended for Required / Required for Recommended)
No, we should remove the parameter “xxx” from the recommendation
I am not familiar with this parameter
On 19th November 2021, a virtual Q&A session was held with ISMRM Perfusion SG members, in which the concept of this initiative was explained and any queries were addressed.
Stage 5 (February 2022 - April 2022):
A total of 38 responses to the survey were collected and are summarized in Supporting Information Figure S1, S2 and S3, which are available online. Based on those responses, the reporting recommendation was finalized and is provided in ‘Section 3. Reporting Recommendation’. United Imaging also joined the manufacturer survey, and the summary of the survey responses from all six MRI manufacturers is provided in Supporting Information Figure S4 and S5, showing how the acquisition parameters listed in the Reporting Recommendation can be obtained via the commercial MRI scanner GUIs. It was found that, when the specific sequence/technique is implemented as a product, all corresponding parameters in the “Required” category were either displayed in the GUI or available on request from the manufacturers. In the “Recommended” category, however, several parameters are not available for some manufacturers. Therefore, the recommendation level remains that we only “encourage” authors to include as many of the recommended parameters as possible in ASL publications. After all feedback/comments were addressed, the ASL Lexicon was divided into two groups: (a) techniques and their parameters that are widely used and mature enough to be standardized, which are mostly covered by the ‘ASL White Paper’ and some (but not all) of the ‘ASL Grey Papers’, and (b) advanced and emerging techniques and their parameters. Only the former (i.e. (a)) is included in this manuscript, to avoid premature standardization of emerging techniques in a published article. The final draft of the manuscript was shared with the ISMRM Perfusion SG members for endorsement.
May 2022 - future:
the online version of the ASL Lexicon and Reporting Recommendation will be managed and updated by the community as further methods and improvements are developed.
2. ASL Lexicon
The ASL lexicon organizes comprehensive lists of terminology and definitions for ASL imaging techniques and acquisition parameters, as well as physiological constants and parameters required in quantitative analysis. As explained in subsection 1.2 (stage 5), this manuscript contains only techniques and parameters that are widely used and mature enough to be standardized i.e.: (Pseudo-) Continuous ASL ((P)CASL), Pulsed ASL (PASL), Velocity-selective ASL (VSASL) and Multi-timepoint ASL for brain perfusion imaging. Other more advanced and emerging techniques (such as vessel-selective ASL, MR Fingerprinting ASL, ASL angiography, modified ASL labeling methods which measure other physiological parameters (e.g., water extraction fraction), and corresponding image processing) and ASL applications in the body will be listed on the online version that is available at the ISMRM OSIPI website, with a view to standardization in future work.
2.1. General definition of ASL
In this subsection, the basic structural elements of the standard ASL sequence are listed and defined. In this manuscript, the term “labeling” is used in the description throughout all techniques, which is however interchangeable with “tagging”.’
Arterial Spin Labeling (ASL): Any MRI technique in which contrast is generated by manipulation of the arterial blood magnetization using RF pulses prior image acquisition, with the aim of isolating flow signal for angiography/perfusion imaging.
Labeling pulse: RF pulse, or train of RF pulses, intended to change the magnetization state of blood in order to differentiate it from stationary tissue. In general, labeling pulses can be spatially selective, targeting the blood outside the imaging volume (upstream), or velocity/acceleration selective (VS/Acc), targeting blood without special selectivity (i.e. including blood flowing within the imaging volume) according to its velocity or acceleration.
Control pulse: RF pulse, or train of RF pulses, intended to match the static tissue Magnetization Transfer (MT), diffusion, eddy currents, or any other side effects of the labeling pulse, while causing minimal perturbation to arterial blood.
Labeled image: Image acquired after preparation by a labeling pulse.
Control image: Image acquired after preparation by a control pulse.
Delay time: The time interval between the end of labeling and the image readout that allows the labeled arterial blood bolus to reach the tissue of interest. In general, it is called the Post-Labeling Delay (PLD) in (P)CASL and Inversion Time (TI) in PASL. In VSASL, both TI and PLD are used to define different temporal parameters. See subsection 2.3 “Parameters in ASL labeling method”, Table 5, and Figure 1–3 below for more details.
Single PLD/TI: ASL protocol in which images are acquired with a single delay time.
Multiple PLD/TI: ASL protocol in which images are acquired with multiple (more than one) delay times.
Background suppression (BS): Strategy for reduction of static tissue signal intensity using a train of RF pulses applied prior to image readout. The aim of background suppression is to improve SNR of the ASL image by reducing signal fluctuations in the labeled and control images. There are many background suppression schemes available, involving saturation and inversion pulses.
Saturation: Saturation of the imaging volume is performed just before and/or after the labeling and control pulses, to set its longitudinal magnetization to zero and thereby eliminate any label/control MT or slice profile mismatches. Water suppression enhanced through T1 effects (WET) pulses 9 are commonly used 10.
Vascular suppression (also known as vascular crushing): Reduction of signal present in larger arterial vessels at the time of imaging. Generally, it is achieved by applying vascular crusher gradients after the excitation pulse, which selectively dephases signal based on the velocity profile of the spins in the direction of the gradient 11–13. In VSASL, vascular suppression is achieved using velocity selective saturation pulses 6.
M0 image (also known as proton density image): Additional calibration image required for blood flow quantification, used to estimate the fully-relaxed magnetization (M0) of blood (M0b) and tissue (M0t), which are necessary to calculate perfusion from ASL images. M0 image is commonly obtained as a proton density image by turning off all preparation pulses before acquisition while using a relatively long TR. When background suppression pulses are not applied, the average (mean) control image can be used as the M0 image by correcting for T1 relaxation.
Table 5:
Parameters in ASL Labeling Method
| Name | Notation | Unit | Description |
|---|---|---|---|
| Labeling duration | LD Also known as: τ |
ms or s | For CASL/PCASL. Duration of the constant CASL labeling RF or PCASL labeling pulse train. See Figure 3. |
| Bolus duration | BD | ms or s | For PASL. Temporal width of the labeled bolus. For QUIPSS-II/Q2TIPS, this is defined as the time from the labeling pulse to the center of the first saturation pulse (and is equal to TI1, see below). If QUIPSS-II/Q2TIPS saturation is not used, this parameter is not known a priori, but is determined by the arterial blood velocity and inversion slab thickness, or the RF transmit coil length for FAIR. |
| Post-labeling delay | PLD | ms or s | For CASL/PCASL. Time from the end of the labeling pulse to the center of the imaging excitation pulse (see Figure 3). In a 2D multi-slice acquisition, the PLD is defined by the time of the first slice acquisition; however, it is important to note that the effective PLD for each slice is different, and is determined by the PLD and the inter-slice time. |
| Inversion time | TI | ms or s | For general PASL. Time from the center of the labeling pulse to the center of the imaging excitation pulse. In 2D multi-slice acquisition, this relates to the first acquired slice. ASL-BIDS uses the term “post-labeling delay” for this parameter in PASL. |
| Inflow time | ms or s | In some post-processing tools (e.g., FSL), inflow time is used to define the time from the start of labeling to the center of the imaging excitation pulse. For PASL, it is equivalent to inversion time. For PCASL, however, inflow time will be equivalent to PLD + LD. | |
| TI1 | ms or s | For QUIPSS (-II)/Q2TIPS. Time from the center of the labeling pulse to the center of the bolus saturation pulse (QUIPSS (-II)) or center of the first saturation pulse (Q2TIPS). See Figure-1. BIDS uses the term “BolusCutOffDelayTime(1)”. | |
| TI2 | ms or s | For QUIPSS (-II)/Q2TIPS. Time from the center of the labeling pulse to the center of the excitation pulse of the image acquisition. This value is equivalent to TI of the conventional (non-QUIPSS-II/Q2TIPS) PASL. See Figure-1. | |
| ΔTI | ms or s | For QUIPSS (-II), defined as TI2 – TI1. See Figure-1. | |
| TI1 stop | TI1s | ms or s | For Q2TIPS. Time from the center of the labeling pulse to the center of the last bolus saturation pulse. See Figure-1. BIDS uses the term “BolusCutOffDelayTime(2)”. |
| Background suppression (pulse) timing | BS1 to BSn | ms or s | The timing parameters for the background suppression RF pulses. Currently, there are three different definitions for these timings implemented in commercial scanners (please see Figure 3): (a) time from the center of either the labeling pulse (for PASL) or the first labeling pulse (PCASL) to the center of the Nth background suppression pulse, (b) timing from the center of the Nth background suppression to the center of the first readout excitation pulse, and (c) BSn Time: from the center of the last PCASL labeling pulse to the center of the Nth BS pulse; BSn TI: from the center of the Nth BS pulse to the center of the first excitation pulse. |
| Vascular crusher gradient strength | Venc | cm/s | Crusher gradients have an amplitude sufficient to cause a 180° phase shift for blood moving with a velocity of Venc in the direction of the gradients. |
| B | s/mm2 | Crusher gradients are equivalent to diffusion-weighting gradients with this b value 50. | |
| Labeling plane | The plane at which flowing blood is labeled in (P)CASL. “Fixed labeling plane” means the labeling plane is parallel to the image slice orientation and angulation with a specified distance relative to the lowest slice. “Free labeling plane” means the labeling plane can be moved and angulated independently from the image volume |
||
| Labeling plane offset / distance | mm | For PCASL, this is the distance between the center of the imaging volume and the center of the labeling plane | |
| Labeling Pulse Average Gradient | Gav | mT/m | For PCASL. The non-zero mean gradient applied concurrently with the RF labeling pulses, which combines to produce flow-driven adiabatic inversion. See Figure-4. |
| Labeling Pulse Maximum Gradient | Gmax | mT/m | For PCASL. The amplitude of the slice-selection gradient applied during the labeling pulses in the PCASL labeling pulse train. See Figure-4. |
| Labeling Pulse Average B1 | B1av | μT | For (P)CASL, the average B1-field strength of the RF labeling pulses over the entire pulse train. See Figure-4. |
| Labeling Pulse Flip Angle | degree (°) | For PCASL. The flip angle of a single labeling pulse in the pCASL labeling pulse train. | |
| Labeling Pulse Interval | ms | For PCASL. The interval between the centers of two successive PCASL labeling pulses. See Figure-4. | |
| Labeling Pulse Duration | ms | For PCASL. The duration of each PCASL labeling pulse. See Figure-4. | |
| PCASL control type | For PCASL. Type of the gradient scheme used in pCASL control condition: either Balanced or Unbalanced. Balanced: Identical Gav (non-zero) for label and control. Unbalanced: Gav in label is nonzero but zero in control (refocusing gradient lobes are increased in amplitude such that the mean gradient is zero). |
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| Labeling slab | For PASL, the volume over which the labeling RF pulse is applied. | ||
| Labeling Slab Thickness | mm | For PASL. The nominal thickness of the labeling RF slab. | |
| Labeling slab gap | mm | For PASL, this is the nominal gap between the leading edge of the labeling slab and the closest edge of the the imaging volume | |
| Cutoff velocity | Vcut | In VSASL, spins moving above a chosen velocity, referred to as the cutoff velocity (Vcut), is labeled. Vcut determines how deep into the arterial tree the blood is labeled. |
Figure 1:

Schematic sequence diagram of QUIPSS-II and Q2TIPS.
Figure 3:

Schematic sequence diagram of (P)CASL. The timing parameter for the background suppression (BS) pulses. In this example, 2 BS pulses are used. Currently, there are three different definitions of the timings implemented in commercial scanners: (a) time from the center of the first PCASL labeling pulse to the center of the Nth BS pulse, (b) time from the center of the first excitation pulse to the center of the Nth BS pulse, (c) BSn Time: from the center of the last PCASL labeling pulse to the center of the Nth BS pulse; BSn TI: from the center of the Nth BS pulse to the center of the first excitation pulse. (Figure (c) courtesy: Canon Medical Systems Corporation).
2.2. ASL Labeling Methods
This subsection focuses on the name of techniques, their notations and descriptions with regard to ASL labeling methods. In general, ASL labeling methods are divided into three labeling types: (P)CASL, PASL, and VSASL. In addition to these labeling methods, this subsection also covers the techniques/sequences for Multi-timepoint ASL.
2.2.1. (Pseudo-) Continuous ASL ((P)CASL)
“CASL” 14–16and “PCASL” 17are general terms for the ASL labeling methods where labeling is performed by applying RF pulses for long duration (typically 1–3 sec), in combination with a magnetic field gradient. Flowing blood spins are inverted as they flow through a thin labeling plane by means of flow-driven adiabatic inversion 18. In the ‘ASL White Paper’ PCASL is the recommended ASL labeling method for clinical use, due to its high SNR efficiency compared to PASL 1. Several techniques related to (P)CASL are listed in Table 1.
Table 1:
PCASL sequences
| Name | Notation | Description |
|---|---|---|
| Continuous ASL 14–16 | CASL | A single, continuous-wave, RF pulse applied over a long period, typically 1–3 sec, in combination with a constant magnetic field gradient. Arterial blood is continuously inverted as it flows through a specified labeling plane by means of flow-driven adiabatic inversion 18. |
| Pseudo-continuous ASL 17 | PCASL | Similar to CASL, labeling occurs over a long period, typically 1.5–2 sec and inverts flowing arterial blood. In PCASL, however, a train of short RF pulses applied at a rate of approximately one per millisecond replaces the single, continuous pulse of CASL. For the control scan, phase modulation of the RF pulse train is applied, such that magnetization transfer effects are identical to the labeling scan, but the arterial blood magnetization is unperturbed. Note that the mechanism of arterial blood inversion is equivalent for CASL and PCASL and, consequently, the quantification model is the same. |
| Balanced PCASL | bPCASL | PCASL implementation which uses the same gradient waveform for the label and control pulses. |
| Unbalanced PCASL | ubPCASL | PCASL implementation which uses different gradient waveforms for the label and control pulses, so that the average gradient (Gav) becomes zero for the control. If optimized, improved robustness to off-resonance effects at the labeling plane can be achieved compared to bPCASL 32. |
| Separate RF labeling coils | Using separate, dedicated RF transmission coils (i.e. in addition to the RF transmit coils for imaging) positioned over the artery/arteries of interest, to reduce power deposition and avoid MT effects in the perfused organ | |
| Flow encoding arterial spin tagging 12 | FEAST | A technique based on (P)CASL that acquires a pair of ASL subtraction images with and without crusher gradients for vascular suppression. The ATT is calculated using the ratio between (P)CASL images with and without vascular suppression |
2.2.2. Pulsed ASL (PASL)
“PASL” 19–21 is a general term for the ASL labeling method where the labeling is performed by applying a single (or a limited number of) short RF pulse(s) that instantaneously invert the blood magnetization. In general, PASL labeling methods are grouped into two types: (i) asymmetric PASL, in which a spatially selective RF slab (typically 10–20 ms) labels the spins outside of the imaging volume on the upstream side (i.e. neck for imaging of brain) e.g., (EPI)STAR, and (ii) symmetric PASL, in which the label is performed by a non-selective global inversion pulse (e.g., FAIR), and spins outside of the imaging volume are labeled, regardless of whether they are upstream or downstream, symmetrically. In PASL, the bolus duration of labeled blood is unknown a priori, and depends on the labeling slab thickness and blood flow velocity. To achieve accurate quantification of CBF with a single TI acquisition, a bolus cut-off technique, such as QUIPSS-II 22 and Q2TIPS 23, is applied to define the bolus duration. Figure 1 shows schematic sequence diagrams of QUIPSS-II and Q2TIPS. Several labeling methods related to PASL are listed in Table 2.
Table 2:
PASL sequences
| Name | Notation | Description |
|---|---|---|
| Pulsed ASL | PASL | A general term for ASL methods with a single (or a limited number of) short RF pulse(s) (typically 10–20 ms) applied to ‘instantaneously’ invert a slab of arterial blood magnetization. |
| Echo-Planar Imaging and Signal Targeting with Alternating Radiofrequency 33 | EPISTAR STAR (non-EPI readout) | A variation of PASL in which the label is performed by a slab-selective adiabatic inversion pulse applied proximal to the imaging volume/slices. In the original multi-slice implementation, the control preparation was achieved by applying slab-selective RF pulses over the same region as the label, with total power matched to the labeling inversion pulse (to generate the same MT effects across the imaging volume) but which resulted in minimal perturbation of the arterial blood magnetization e.g., two consecutive inversion pulses with half power. In the Philips product implementation, the control preparation is achieved by mirroring the RF amplitude and frequency modulation for the second part of the adiabatic pulse 34. |
| Flow-Sensitive Alternating Inversion Recovery 20 | FAIR | A variation of PASL in which the label is performed by a non-slice-selective global inversion pulse, while the control image is obtained using a slice-selective inversion pulse applied to the imaging slab. Because of this symmetric nature, FAIR allows the inflow of the labeled blood from both sides of the imaging volume. |
| Proximal Inversion with Control for Off-Resonance Effects 35 | PICORE | A variation of PASL, in which the label is the same as in EPISTAR, while the control image is obtained using an off-resonance inversion pulse that is applied with the same frequency offset as the label, but without a slab-selective gradient. |
| Double Inversions with Proximal Labeling of bOth tag and control iMAges 36 | DIPLOMA | A variation of PASL designed to reduce the residual MT mismatch between the label and control images observed in EPISTAR and PICORE. In both label and control, two consecutive adiabatic inversion pulses are applied; in the labeling preparation, application of an off-resonance inversion pulse (similar to the one applied in PICORE for control preparation) is followed by a slab-selective inversion pulse. In the control preparation, two slab-selective inversion pulses are applied. |
| Transfer insensitive labeling technique 37 | TILT | A variation of PASL, in which labeling is achieved by two successive 90° radiofrequency (RF) pulses. For the control, the phase of the second pulse is shifted by 180°, thereby yielding no net effect on blood water magnetization. |
| Bolus cut-off technique | In PASL, the bolus duration (see Subsection 2.3) of labeled blood is unknown a priori, and depends on the labeling slab thickness and blood flow velocity. To achieve accurate quantification of CBF with a single TI acquisition, several techniques have been proposed to define the bolus duration, as described below. | |
| Quantitative Imaging of Perfusion Using a Single Subtraction 22 | QUIPSS | QUIPSS aims to eliminate arterial transit time effects in PASL, to enable reliable quantification of CBF with a single TI acquisition. This is achieved by applying a saturation RF pulse to the imaging volume at a time TI1 after labeling, where TI1 is greater than the arterial transit time, followed by image acquisition at time TI. N.B. this approach has not been widely adopted due to the prevalence of intravascular signal in the ASL difference images. |
| Quantitative Imaging of Perfusion Using a Single Subtraction II 23 | QUIPSS-II | QUIPSS-II aims to control the bolus duration in PASL and allow reliable quantification of CBF when using PASL with a single TI. This is achieved by applying a saturation RF slab to the area where the labeling RF slab is applied, thereby cutting off the “tail” of the labeled bolus. See “Bolus duration” for the definition. |
| QUIPPS II with thin-slice TI1 periodic saturation 23 | Q2TIPS | Modified version of QUIPSS-II, aiming to improve the saturation efficiency by replacing the QUIPSS-II saturation pulse with multiple thin RF saturation pulses applied at the distal edge of the labeling slab. |
| QUIPSS II with window-sliding saturation sequence 38 | Q2WISE | A hybrid technique between Q2TIPS and QUIPSS II. In Q2WISE, saturation is achieved by using 2 thin saturation pulses and 1 thick slab saturation pulse to reduce the RF power deposition |
| Wedge-shaped PASL 39 | WS-PASL | A variation of PASL, in which a wedge-shaped adiabatic inversion pulse is used to directly control the bolus duration in different vessels based on the flow velocity. |
| Attenuating the static signal in arterial spin tagging 40 | ASSIST | FAIR ASL approach with multiple inversion pulses during the inflow time to suppress static tissue signal (first implementation of background suppression with ASL) |
2.2.3. Velocity-Selective ASL (VSASL)
“VSASL” 6,24 is a general term for the ASL labeling method where the magnetization is labeled by saturation or inversion based on its velocity. See Figure 2 for a general schematic diagram. In the original implementation, the saturation of flowing blood signal is achieved using a double-refocused hyperbolic secant/tangent (DRHS/T) 25 or B1-Insensitive Rotation-8 (BIR-8) 26 pulse train in combination with velocity encoding gradients in subsequent implementations. Control images are acquired without velocity encoding gradients. Several variant approaches in VSASL are listed in Table 3. Detailed descriptions of the VSASL technique and recommendations for clinical application can be found in the recent ASL Grey Paper 6.
Figure 2:

Schematic sequence diagram of Velocity-selective (VS-) ASL.
Table 3:
Velocity-selective ASL (VSASL) sequences
| Name | Notation | Description |
|---|---|---|
| Velocity-selective ASL 6,24 | VSASL | A general term for ASL techniques where the magnetization is labeled by saturation or inversion based on its velocity. See Figure-2 for a general schematic diagram. In the original implementation, the saturation of flowing blood signal is achieved using a double-refocused hyperbolic secant/tangent (DRHS/T) 25 or B1-Insensitive Rotation-8 (BIR-8) 26 pulse train in combination with velocity encoding gradients. Control images are acquired without velocity encoding gradients. |
| Fourier-transform based velocity-selective saturation ASL 41,42 | FT-VSS ASL | A variation of VSASL in which the magnetization within a certain velocity band is saturated by a train of composite pulses incorporating velocity-sensitive bipolar gradients and refocusing 180° pulses. In contrast to the above-mentioned original implementation of VSASL, in FT-VSS-ASL, the static magnetization is saturated while preserving the magnetization flowing above the velocity threshold. In the control image acquisition, all magnetization is saturated. |
| Fourier-transform based velocity-selective inversion ASL 25 | FT-VSI ASL | Analogous to the FT-VSS ASL method described above, FT-VSI ASL uses composite velocity-selective inversion pulses to invert both flowing and static tissue magnetization (label) or only the static tissue magnetization (control). SNR is improved compared with saturation based VSASL. |
| Multi-module Velocity-selective ASL 43 | mm-VSASL | A strategy to measure ASL signal with multiple velocity-selective saturation labeling modules to increase labeling bolus duration and reduce T1 relaxation of the ASL signal. This method provides improved SNR compared to conventional single-module VSASL with VS saturation. |
| Acceleration-selective ASL 44 | AccASL | An extension of VSASL, which labels (saturates) based on the acceleration/deceleration of blood spins rather than their velocity. Since arterial blood exhibits stronger acceleration/deceleration, it labels predominantly arterial (as opposed to venous) blood. AccASL includes both CBF and CBV weighting. |
2.2.4. Multi-timepoint ASL
“Multi-timepoint ASL” 27–30 is a general term for ASL techniques in which data are acquired repeatedly with several time parameters (delay time, and/or labeling duration for PCASL) to observe the kinetic ASL signal. These approaches are often called “multi-delay ASL”, particularly when only the delay time is varied. “Multi-phase ASL” is also sometimes used as a synonym of multi-delay ASL; however, this should not be confused with the PCASL approach that uses a range of RF phase offsets in the PCASL pulse train to reduce the sensitivity of the CBF estimation to B0 inhomogeneity 31. Table 4 shows several approaches to achieve multi-timepoint ASL. Detailed descriptions and recommendations for the use of multi-timepoint ASL can be found in the relevant recent ASL Grey Paper.
Table 4:
Multi-timepoint ASL
| Name | Notation | Description |
|---|---|---|
| Multi-timepoint ASL | A general term for ASL techniques where ASL data are acquired repeatedly with varied time parameters (delay time, and/or labeling duration for PCASL) to observe the kinetic ASL signal. Also often called “Multi-delay ASL”, particularly when only the delay-time is varied | |
| Multi-timepoint sequential ASL 28,45 | Multi-time point ASL acquisition that acquires images with multiple timepoints as successive single-TI/PLD scans, as opposed to LL-ASL or time-encoded PCASL. | |
| Look-Locker ASL 46 | LL-ASL | ASL acquisitions in which several images are acquired at multiple time points after a single labeling module. Readouts with low flip angle are used to reduce saturation of the labeled blood by the first readouts. |
| Quantitative STAR labeling of arterial regions 11 | QUASAR | PASL-based sequence that consists of several Look-Locker readouts: (i) with and without vascular suppression to obtain local arterial input function; (ii) two different readout flip angles. A Q2TIPS-like saturation is used to define the bolus duration. This sequence allows measurement of the local AIF and quantification of CBF by deconvolution. |
| Reduced resolution transit delay prescan 47 | A fast multi-timepoint ASL implementation that is specifically used to acquire low spatial resolution arterial transit time maps. Typically used as an ancillary scan to enhance the quantification accuracy of a standard-resolution single-PLD ASL acquisition. | |
| Time-encoded PCASL (also commonly referred to as Hadamard- encoded) 48 | te-PCASL | Segmenting the PCASL labeling/control module into varying control and label sub-periods according to an encoding matrix. This improves the temporal efficiency of multi-timepoint ASL - i.e. reduces the number of acquisitions required for a multi-PLD data set. The most typical implementation is Hadamard encoding. Modifications include (for example) Walsh-ordering 49. |
2.3. Parameters in ASL Labeling Method
The parameters related to ASL labeling methods are provided in Table 5. In general, the names and definitions of parameters comply with the ‘ASL White Paper 1’, as well as ‘ASL-BIDS 4’; otherwise, the difference is provided in the description. In general, for timing parameters, there is no preference between the use of “ms” and “s”. In ASL-BIDS, however, the values in JSON sidecars are entered without specifying the units and therefore the use of correct units, as specified in the ASL-BIDS definition, should be strictly followed.
In ASL perfusion imaging, the application of background suppression (BS) is recommended. It should be noted that, currently, there are three different ways in which the BS pulse timings are defined by six major MRI manufacturers (Canon, Fujifilm, GE, Philips, Siemens, and United Imaging, in alphabetical order), which are shown in Figure 3.
2.4. Readout Sequences and Parameters
In this subsection, the basic readout sequences and parameters that appeared in the ASL White Paper are listed (Table 6). More advanced readout strategies can be found in the advanced ASL Grey Paper 7.
Table 6:
Readout sequences and parameters
| Name | Notation | Unit | Description |
|---|---|---|---|
| Echo-Planar Imaging | EPI | A 2D rapid imaging technique, in which an excitation pulse is followed by acquisition of multiple k-space lines by switching the readout gradient polarity rapidly and applying phase-encoding blips. In single-shot EPI, all k-space lines are collected after a single excitation pulse, making it robust to motion. | |
| Gradient and Spin Echo | GRASE | Rapid imaging technique in which the excitation pulse is followed by several refocusing pulses (similar to Fast/Turbo Spin Echo), and after each refocusing pulse, a series of gradient echoes are collected by rapidly switching the readout gradient polarity (similar to EPI). The use of refocusing RF pulses prolongs the lifetime of the transverse magnetization compared to EPI. Typically acquired as a multi-shot 3D acquisition in ASL applications. | |
| Stack-of-spirals RARE or FSE | SoS | Non-cartesian 3D Fast Spin-Echo (also known as Turbo Spin-Echo, or ‘RARE’ (Rapid Acquisition with Relaxation Enhancement)) acquisition technique, in which the readout is performed using a spiral trajectory to efficiently sample kx-ky, with each spin echo being assigned to a different kz partition. Typically acquired as a multi-shot 3D acquisition in ASL applications. | |
| Segmented 3D sequence | 3D acquisition scheme (e.g., 3D GRASE or SoS) in which k-space is acquired over multiple TRs to keep each individual readout to a reasonable duration. It should be noted that, as compared to the single-shot sequence, this approach is more sensitive to motion. Also known as ‘multi-shot 3D’ sequences. | ||
| Number of segments/shots | Nseg | In a segmented 3D sequence, this is the number of acquisition repeats required to sample the full k-space data set. | |
| Repetition time | TR | ms | The time from the beginning of a labeling/control pulse to the beginning of the next control/labeling pulse. Note that, when a readout sequence with multiple excitation pulses (e.g., balanced SSFP) is used, this repetition time is different to the repetition time of the readout sequence. RepetitionTimePreparation is used in BIDS to differentiate this from RepetitionTimeExcitation. |
| Total acquired pair | The number of paired labeled and control images acquired for improving SNR (averaging) in single-delay ASL, or for fitting in multi-time point ASL. Note that, if online averaging is performed, this number will be greater than the number of reconstructed image pairs; in the extreme, the latter may be a single image pair, representing the average over all acquisitions. NB for te-PCASL, images are not acquired in label-control pairs, and therefore in this situation it is appropriate to specify the number of repeats of the full encoding matrix. |
||
| Inter-slice time | ms | For a 2D multi-slice acquisition scheme, the time between the excitation pulses of successive slices. This is needed in order to calculate the effective PLD/TI for each slice, which is required for accurate quantification. |
2.5. Derived Parameters
Table 7 provides a list of the derivative parameters of standard ASL, namely that commonly appear in the perfusion imaging using single PLD. In general, the names and definitions of parameters comply with the ‘ASL White Paper 1’, as well as ‘ASL-BIDS 4’; otherwise, the difference is provided in the description.
Table 7:
Derivative parameters
| Name | Notation | Unit | Description |
|---|---|---|---|
| ASL difference image Also known as: DeltaM Perfusion weighted image |
ΔM | arbitrary unit | Image obtained by subtracting the labeled image from the control image, which subtracts out the static tissue signal and consequently shows the perfusion-weighted signal produced by ASL preparation. |
| Normalized perfusion weighted image | ΔM/M0 | % | ASL difference image normalized by the M0, with a unit in %. |
| Cerebral Blood Flow | CBF | mL/100g/min | Quantity of blood (mL) reaching 100g of brain tissue per unit of time (min) |
| ATT | ms | ||
| Arterial Transit Time Also known as: Bolus Arrival Time Arterial Arrival Time |
Also known as: BAT AAT |
Time between when blood is labeled and when it first arrives in the imaging voxel/slice. Note that ATT, AAT and BAT are dependent on the positioning of the labeling plane/slab relative to the imaging volume, and are therefore not generally comparable across studies. |
|
| Partial volume 51,52 | PV | The typical voxel size of ASL perfusion image is much larger than the cortical thickness, and individual voxels are likely to contain a mixture of gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF), which is known as the partial volume (PV) effect. | |
| Tissue partial volume Also known as: Fractional tissue volume |
PGM, PWM | Fraction (0 to 1) | Partial volume of different tissue types (GM, WM, CSF) as a fraction of the total voxel volume. |
| Tissue specific perfusion | CBFGM CBFWM |
Perfusion of specific tissue types within a voxel, estimated either by (a) including only voxels with a tissue probability value higher than a stated threshold, or (b) explicitly correcting for the partial volume effects of GM/WM/CSF within voxels |
2.6. Ancillary parameters for quantification
This subsection focuses on the name, notations and descriptions of the physiological constants and ancillary parameters used in ASL quantification, including equations for quantification.
2.6.1. One-compartment model for single-PLD
The general kinetic model is used to derive the quantification equations below. Several assumptions need to be fulfilled to ensure its validity – for example delivery of the entire bolus to the tissue and that label relaxation is governed by blood T1 during the entire measurement. This is the basic quantification model recommended by the ASL White Paper 1. A list of the parameters used in these equations is provided in Table 8.
Table 8:
Parameters for the one-compartment model for single-PLD
| Name | Notation | Unit | Description |
|---|---|---|---|
| T1 relaxation time of blood Also known as: Blood T1 |
T1b | ms | The longitudinal relaxation time of arterial blood |
| Equilibrium magnetization of blood Also known as: M0 of blood |
M0b | arbitrary unit | Fully relaxed longitudinal magnetization of arterial blood, which is required to scale the subtracted ASL signal and obtain absolute CBF units. In the ASL White paper, it is recommended to estimate M0b from a voxel-by-voxel M0t measured by an M0 image. The blood-brain partition coefficient λ scales M0t to M0b. |
| Equilibrium magnetization of tissue Also known as: M0 of tissue |
M0t | arbitrary unit | Fully relaxed longitudinal magnetization of tissue. This value might be different in different organs or tissue types within an organ. |
| Blood-brain partition coefficient | λ | mL/g | The ratio between blood and tissue water concentration at equilibrium in mL of blood, per g of tissue. When used in ASL quantification, instantaneous equilibrium between tissue and veins is assumed |
| Labeling efficiency | α | Fraction (0 to 1) | Combines the inversion efficiency of the labeling pulse itself and the loss of label caused by background suppression (dependent on the number and type of BS pulses). A value of 1 corresponds to full inversion of blood magnetization. |
3. Reporting Recommendation
The Reporting Recommendation is provided in Table 9, consists of two recommendation levels:
Required: essential for meaningful interpretation of the ASL data and for quantitative analysis. These must be included for describing ASL methods in reports/articles in order for its data set to be ‘OSIPI compliant’.
Recommended: parameters that are useful for interpretation of the ASL data and could explain specific characteristics or systematic differences between data sets. Authors are encouraged to include as many of these as possible in ASL publications.
Table 9:
Reporting recommendation
| Name | Abbreviation | Style | Condition |
|---|---|---|---|
| Required parameters - General | |||
| Arterial Spin Labeling Type | PASL, (P)CASL, Velocity-selective, etc. | ||
| Background Suppression | BS | Yes/No | |
| Method for M0b estimation | The description of how M0b is estimated, e.g., how M0 image is acquired, or any special method to estimate M0b directly, etc. | When CBF estimation is performed | |
| Total acquired pairs | The number of paired labeled and control images, before online averaging is performed (if applicable) | ||
| Acquisition Voxel Size | Value in mm | ||
| Required parameters - (P)CASL | |||
| Labeling duration | LD or τ | Value in ms or s | When (P)CASL is used |
| Post-labeling delay | PLD | Value in ms or s | When (P)CASL is used |
| Required parameters - PASL | |||
| Inversion time / Inflow time | TI | Value in ms or s | When PASL is used |
| Bolus cut-off techniques | Name of technique, or None | When PASL is used | |
| TI1 | Value in ms or s | When QUIPSS-II or Q2TIPS are used | |
| TI2 | Value in ms or s | When QUIPSS-II or Q2TIPS are used | |
| TI1s | Value in ms or s | When Q2TIPS is used | |
| Recommended parameters - General | |||
| Number of background suppression pulse | Value | If BS is used and details are available to the user | |
| Background suppression (pulse) timing | BS1 to BSn or BS Time/TI |
Value in ms | If BS is used and details are available to the user |
| Background suppression timing definition | The description of how timing is defined. See “Background suppression (pulse) timing” in Table 5, or Figure 3. | If BS is used and details are available to the user | |
| Labeling Location Description | Description of the labeling plane/slab location (other factor than offset/gap), such as the planning of the labeling plane/slab with respect to the imaging slices | ||
| Shim volume | Description of shim volume used: imaging volume only, both imaging volume and labeling region, labeling region during labeling pulse and imaging volume during acquisition, or other (please specify) | ||
| Vascular crushing | Venc | Value in cm/s | When Vascular crushing is performed. Ideally, both Venc and b should be specified |
| b | Value in s/mm2 | ||
| Recommended parameters - (P)CASL | |||
| PCASL control type | Balanced or Unbalanced | When PCASL is used | |
| CASL type | If a separate coil is used for labeling | When CASL is used | |
| Labeling plane offset / distance | Value in mm | ||
| Labeling Pulse Average Gradient | Gav | Value in mT/m | When details are available to the user |
| Labeling Pulse Maximum Gradient | Gmax | Value in mT/m | When details are available to the user |
| Labeling Pulse Average B1 | B1av | Value in μT | When details are available to the user |
| Labeling Pulse Flip Angle | Value in degree (°) | When details are available to the user | |
| Labeling Pulse Interval | Value in ms | When details are available to the user | |
| Labeling Pulse Duration | Value in ms | When details are available to the user | |
| Recommended parameters - PASL | |||
| PASL type | EPISTAR, FAIR, PICORE, etc. | ||
| Labeling slab thickness | Value in mm | ||
| Labeling slab gap | Value in mm | ||
4. Summary and conclusion
On behalf of the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion SG, this manuscript is intended to form a community-endorsed lexicon and recommendation for reporting of ASL perfusion imaging, detailing which and how parameters in acquisition protocols and analysis should be reported, with the aim of improving the reproducibility and consistency of the reported studies. In the future, this lexicon could also be used to improve the Digital Imaging and Communications in Medicine (DICOM) standard for the purposes of communicating raw images and parametric maps of ASL perfusion MRI.
Supplementary Material
Figure 4:

Schematic diagram of PCASL labeling pulse train.
Acknowledgements
The authors would like to thank the expert panel members (in alphabetical order): Michael Chappell (Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, UK), Luis Hernandez-Garcia (FMRI Laboratory, University of Michigan, USA), Jia Guo (Department of Bioengineering, University of California Riverside, USA), Thomas Okell (Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, UK), Qin Qin (The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, USA), Eric Wong (CFMRI, Department of Radiology, University of California San Diego, USA), Joseph Woods (Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, UK), for their feedback, and MRI manufacturers: Suchandrima Banerjee and David Shin (GE Healthcare), Josef Pfeuffer and Marta Vidorreta (Siemens Healthcare), Valentin Prevost (Canon Medical Systems Corporation), Takashi Tsuneki (FUJIFILM Healthcare Corporation), Kim van de Ven (Philips Healthcare), Jun Xie (United Imaging Healthcare). The authors also thank the ISMRM Perfusion SG members, especially those who responded to the online survey and poll, as well as those who provided feedback during the public presentation. We also thank the ISMRM Publication Committee for reviewing the work and coordinating the ISMRM Board of Trustees approval process.
YS is supported by the Royal Academy of Engineering under the Research Fellowship scheme (RF/201920/19/236) and core funding from the Wellcome Trust (203139/Z/16/Z). DLT is supported by the UCLH NIHR Biomedical Research Centre and the Wellcome Trust (Centre award 539208). SD is supported by NIH Grants R03 AG063213, R01 NS111115. MFS is supported by Spanish Ministry of Science and Innovation Universities (grant PI18/00084 and PI21/00578). TL is supported by the German Research Foundation (DFG), grant number LI-3030/2–1. HM is supported by the Dutch Heart Foundation (03–004-2020-T049), by the Eurostars-2 joint programme with co-funding from the European Union Horizon 2020 research and innovation programme (ASPIRE E!113701), provided by the Netherlands Enterprise Agency (RvO), and by the EU Joint Program for Neurodegenerative Disease Research, provided by the Netherlands Organisation for Health Research and Development and Alzheimer Nederland (DEBBIE JPND2020–568-106).
Data availability statement
The online full version of the ASL Lexicon and Reporting Recommendation is available on the OSIPI website. LaTex equations used in this manuscript are provided together with their source code on the OSIPI website as well. Material can be freely reused in publications and educational material.
References
- 1.Alsop DC, Detre JA, Golay X, et al. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med. 2015;73(1):102–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Lindner T, Bolar DS, Achten E, et al. Current state and guidance on arterial spin labeling perfusion MRI in clinical neuroimaging. Magn Reson Med. 2023;89(5):2024–2047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Harms MP, Somerville LH, Ances BM, et al. Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects. Neuroimage. 2018;183:972–984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Clement P, Castellaro M, Okell TW, et al. ASL-BIDS, the brain imaging data structure extension for arterial spin labeling. Scientific Data 2022 9:1. 2022;9(1):1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Nery F, Buchanan CE, Harteveld AA, et al. Consensus-based technical recommendations for clinical translation of renal ASL MRI. Magnetic Resonance Materials in Physics, Biology and Medicine. 2020;33(1):141–161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Qin Q, Alsop DC, Bolar DS, et al. Velocity-selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation. Magn Reson Med. 2022;88(4):1528–1547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hernandez-Garcia L, Aramendía-Vidaurreta V, Bolar DS, et al. Recent Technical Developments in ASL: A Review of the State of the Art. Magn Reson Med. 2022;88(5):2021–2042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Taso M, Aramendía-Vidaurreta V, Englund EK, et al. Update on state-of-the-art for arterial spin labeling (ASL) human perfusion imaging outside of the brain. Magn Reson Med. 2023;89(5):1754–1776. [DOI] [PubMed] [Google Scholar]
- 9.Ogg RJ, Kingsley PB, Taylor JS. WET, a T1- and B1-Insensitive Water-Suppression Method for in Vivo Localized 1H NMR Spectroscopy. J Magn Reson B. 1994;104(1):1–10. [DOI] [PubMed] [Google Scholar]
- 10.Golay X, Petersen ET, Hui F. Pulsed star labeling of arterial regions (PULSAR): A robust regional perfusion technique for high field imaging. Magn Reson Med. 2005;53(1):15–21. [DOI] [PubMed] [Google Scholar]
- 11.Petersen ET, Lim T, Golay X. Model-free arterial spin labeling quantification approach for perfusion MRI. Magn Reson Med. 2006;55(2):219–232. [DOI] [PubMed] [Google Scholar]
- 12.Wang J, Alsop DC, Song HK, et al. Arterial transit time imaging with flow encoding arterial spin tagging (FEAST). Magn Reson Med. 2003;50(3):599–607. [DOI] [PubMed] [Google Scholar]
- 13.Ye FQ, Mattay VS, Jezzard P, Frank JA, Weinberger DR, McLaughlin AC. Correction for vascular artifacts in cerebral blood flow values measured by using arterial spin tagging techniques. Magn Reson Med. 1997;37(2):226–235. [DOI] [PubMed] [Google Scholar]
- 14.Williams DS, Detre JA, Leigh JS, Koretsky AP. Magnetic resonance imaging of perfusion using spin inversion of arterial water. Proceedings of the National Academy of Sciences. 1992;89(1):212–216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Alsop DC, Detre JA. Reduced transit-time sensitivity in noninvasive magnetic resonance imaging of human cerebral blood flow. Journal of Cerebral Blood Flow and Metabolism. 1996;16(6):1236–1249. [DOI] [PubMed] [Google Scholar]
- 16.Alsop DC, Detre JA. Multisection cerebral blood flow MR imaging with continuous arterial spin labeling. Radiology. 1998;208(2):410–416. [DOI] [PubMed] [Google Scholar]
- 17.Dai W, Garcia D, De Bazelaire C, Alsop DC. Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields. Magn Reson Med. 2008;60(6):1488–1497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Dixon WT, Du LN, Faul DD, Gado M, Rossnick S. Projection angiograms of blood labeled by adiabatic fast passage. Magn Reson Med. 1986;3(3):454–462. [DOI] [PubMed] [Google Scholar]
- 19.Kwong KK, Belliveau JW, Chesler DA, et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proceedings of the National Academy of Sciences. 1992;89(12):5675–5679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kim S-G. Quantification of relative cerebral blood flow change by flow-sensitive alternating inversion recovery (FAIR) technique: Application to functional mapping. Magn Reson Med. 1995;34(3):293–301. [DOI] [PubMed] [Google Scholar]
- 21.Edelman RR, Siewert B, Darby DG, et al. Qualitative mapping of cerebral blood flow and functional localization with echo-planar MR imaging and signal targeting with alternating radio frequency. Radiology. 1994;192(2):513–520. [DOI] [PubMed] [Google Scholar]
- 22.Wong EC, Buxton RB, Frank LR. Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II). Magn Reson Med. 1998;39(5):702–708. [DOI] [PubMed] [Google Scholar]
- 23.Luh WM, Wong EC, Bandettini PA, Hyde JS. QUIPSS II with thin-slice TI1 periodic saturation: A method for improving accuracy of quantitative perfusion imaging using pulsed arterial spin labeling. Magn Reson Med. 1999;41(6):1246–1254. [DOI] [PubMed] [Google Scholar]
- 24.Wong EC, Cronin M, Wu WC, Inglis B, Frank LR, Liu TT. Velocity-selective arterial spin labeling. Magn Reson Med. 2006;55(6):1334–1341. Doi: 10.1002/MRM.20906 [DOI] [PubMed] [Google Scholar]
- 25.Qin Q, van Zijl PCM. Velocity-selective-inversion prepared arterial spin labeling. Magn Reson Med. 2016;76(4):1136–1148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Guo J, Meakin JA, Jezzard P, Wong EC. An optimized design to reduce eddy current sensitivity in velocity-selective arterial spin labeling using symmetric BIR-8 pulses. Magn Reson Med. 2015;73(3):1085–1094. [DOI] [PubMed] [Google Scholar]
- 27.Buxton RB, Frank LR, Wong EC, Siewert B, Warach S, Edelman RR. A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magn Reson Med. 1998;40(3):383–396. [DOI] [PubMed] [Google Scholar]
- 28.Gonzalez-At JB, Alsop DC, Detre JA. Cerebral perfusion and arterial transit time changes during task activation determined with continuous arterial spin labeling. Magn Reson Med. 2000;43(5):739–746. [DOI] [PubMed] [Google Scholar]
- 29.Mildner T, Möller HE, Driesel W, Norris DG, Trampel R. Continuous arterial spin labeling at the human common carotid artery: the influence of transit times. NMR Biomed. 2005;18(1):19–23. [DOI] [PubMed] [Google Scholar]
- 30.Yang Y, Engelien W, Xu S, Gu H, Silbersweig DA, Stern E. Transit Time, Trailing Time, and Cerebral Blood Flow During Brain Activation: Measurement Using Multislice, Pulsed Spin-Labeling Perfusion Imaging. Magn Reson Med. 2000;44:680–685. [DOI] [PubMed] [Google Scholar]
- 31.Jung Y, Wong EC, Liu TT. Multiphase pseudocontinuous arterial spin labeling (MP-PCASL) for robust quantification of cerebral blood flow. Magn Reson Med. 2010;64(3):799–810. [DOI] [PubMed] [Google Scholar]
- 32.Zhao L, Vidorreta M, Soman S, Detre JA, Alsop DC. Improving the robustness of pseudo-continuous arterial spin labeling to off-resonance and pulsatile flow velocity. Magn Reson Med. 2017;78(4):1342–1351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Edelman RR, Chen Q. EPISTAR MRI: Multislice mapping of cerebral blood flow. Magn Reson Med. 1998. [DOI] [PubMed] [Google Scholar]
- 34.Petersen ET, Golay X. Improved Inversion Efficiency in Arterial Spin Labeling Using Adiabatic Null Pulses. In: In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB.; 2007:1407. [Google Scholar]
- 35.Wong EC, Buxton RB, Frank LR. Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labeling. NMR Biomed. 1997;10(4–5):237–249. [DOI] [PubMed] [Google Scholar]
- 36.Jahng GH, Zhu XP, Matson GB, Weiner MW, Schuff N. Improved perfusion-weighted MRI by a novel double inversion with proximal labeling of both tagged and control acquisitions. Magn Reson Med. 2003;49(2):307–314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Golay X, Stuber M, Pruessmann KP, Meier D, Boesiger P. Transfer insensitive labeling technique (TILT): Application to multislice functional perfusion imaging. Journal of Magnetic Resonance Imaging. 1999;9(3):454–461. [DOI] [PubMed] [Google Scholar]
- 38.Song R, Loeffler RB, Hillenbrand CM. QUIPSS II with window-sliding saturation sequence (Q2WISE). Magn Reson Med. 2012;67(4):1127–1132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Guo J, Buxton RB, Wong EC. Wedge-shaped slice-selective adiabatic inversion pulse for controlling temporal width of bolus in pulsed arterial spin labeling. Magn Reson Med. 2016;76(3):838–847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ye FQ, Frank JA, Weinberger DR, McLaughlin AC. Noise reduction in 3D perfusion imaging by attenuating the static signal in arterial spin tagging (ASSIST). Magn Reson Med. 2000;44(1):92–100. [DOI] [PubMed] [Google Scholar]
- 41.Qin Q, Shin T, Schär M, Guo H, Chen H, Qiao Y. Velocity-selective magnetization-prepared non-contrast-enhanced cerebral MR angiography at 3 Tesla: Improved immunity to B0/B1 inhomogeneity. Magn Reson Med. 2016;75(3):1232–1241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Shin T, Hu BS, Nishimura DG. Off-resonance-robust velocity-selective magnetization preparation for non-contrast-enhanced peripheral MR angiography. Magn Reson Med. 2013;70(5):1229–1240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Guo J, Wong EC. Increased SNR efficiency in velocity selective arterial spin labeling using multiple velocity selective saturation modules (mm-VSASL). Magn Reson Med. 2015;74(3):694–705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Schmid S, Ghariq E, Teeuwisse WM, Webb A, Van Osch MJP. Acceleration-selective arterial spin labeling. Magn Reson Med. 2014;71(1):191–199. [DOI] [PubMed] [Google Scholar]
- 45.Thomas DL, Lythgoe MF, Van Der Weerd L, Ordidge RJ, Gadian DG. Regional variation of cerebral blood flow and arterial transit time in the normal and hypoperfused rat brain measured using continuous arterial spin labeling MRI. Journal of Cerebral Blood Flow and Metabolism. 2006;26(2):274–282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Gunther M, Bock M, Schad LR. Arterial spin labeling in combination with a look-locker sampling strategy: Inflow turbo-sampling EPI-FAIR (ITS-FAIR). Magn Reson Med. 2001;46(5):974–984. [DOI] [PubMed] [Google Scholar]
- 47.Dai W, Robson PM, Shankaranarayanan A, Alsop DC. Reduced resolution transit delay prescan for quantitative continuous arterial spin labeling perfusion imaging. Magn Reson Med. 2012;67(5):1252–1265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Dai W, Shankaranarayanan A, Alsop DC. Volumetric measurement of perfusion and arterial transit delay using hadamard encoded continuous arterial spin labeling. Magn Reson Med. 2013;69(4):1014–1022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.von Samson-Himmelstjerna F, Madai VI, Sobesky J, Guenther M. Walsh-ordered hadamard time-encoded pseudocontinuous ASL (WH pCASL). Magn Reson Med. 2016;76(6):1814–1824. [DOI] [PubMed] [Google Scholar]
- 50.Thomas DL, Lythgoe MF, Pell GS, Calamante F, Ordidge RJ. The measurement of diffusion and perfusion in biological systems using magnetic resonance imaging. Phys Med Biol. 2000;45(8):R97. [DOI] [PubMed] [Google Scholar]
- 51.Asllani I, Borogovac A, Brown TR. Regression algorithm correcting for partial volume effects in arterial spin labeling MRI. Magn Reson Med. 2008;60(6):1362–1371. [DOI] [PubMed] [Google Scholar]
- 52.Chappell MA, Groves AR, MacIntosh BJ, Donahue MJ, Jezzard P, Woolrich MW. Partial volume correction of multiple inversion time arterial spin labeling MRI data. Magn Reson Med. 2011;65(4):1173–1183. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The online full version of the ASL Lexicon and Reporting Recommendation is available on the OSIPI website. LaTex equations used in this manuscript are provided together with their source code on the OSIPI website as well. Material can be freely reused in publications and educational material.
