Summary
A close interaction between the respiratory pump, pulmonary parenchyma and blood circulation is essential for a normal lung function. Many pulmonary diseases present, especially in their initial phase, a variable regional impairment of ventilation and perfusion. In the last decades various techniques have been established to measure the lung function. Besides the global pulmonary function tests (PFTs) imaging techniques gained increasing importance to detect local variations in lung function, especially for ventilation and perfusion assessment. Imaging modalities allow for a deeper regional insight into pathophysiological processes and enable improved planning of invasive procedures. In contrast to computed tomography (CT) and the nuclear medicine techniques, magnetic resonance imaging (MRI), as a radiation free imaging modality gained increasing importance since the early 1990 for the assessment of pulmonary function. The major inherent problems of lung tissue, namely the low proton density and the pulmonary and cardiac motion, were overcome in the last years by a constant progress in MR technology. Some MR techniques are still under development, a process which is driven by scientific questions regarding the physiology and pathophysiology of pulmonary diseases, as well as by the need for fast and robust clinically applicable imaging techniques as safe therapy monitoring tools. MRI can be considered a promising ionizing-free alternative to techniques like CT or nuclear medicine techniques for the evaluation of lung function. The goal of this article is to provide an overview on selected MRI techniques for the assessment of pulmonary ventilation and perfusion.
Keywords: lung, function, magnetic resonance imaging
Background
Lung function is the result of a close interaction between the respiratory pump, lung parenchyma and pulmonary circulation. As diseases of the respiratory system can affect each of these components, a clear differentiation between the individual contributors to a functional impairment is essential for adequate diagnostics and treatment. Many pulmonary diseases, especially in their initial phase, present a variable regional involvement of ventilation and perfusion. Thus, mismatch between these two components may occur.
In the last decades various techniques have been established to measure the lung function. Pulmonary function tests (PFTs) including spirometry and body plethysmography remain the main tools for measurements of lung volumes, air-flow and resistance [1]. For better disease characterization they can be used in combination with other procedures such as arterial blood gas partial pressure analysis, breathing gas analysis, carbon monoxide diffusion capacity. However, all these methods provide only global parameters of lung function, therefore are often nonspecific to differentiate lung diseases, or not sensitive enough to detect early functional lung damage, especially in case of heterogeneous ventilation and perfusion abnormalities [2]. Moreover, it is difficult to perform PTFs in young children because the measured parameters are dependent upon the patient’s compliance, e.g. their ability to perform the appropriate maneuver properly. A more powerful method to analyze pulmonary gas exchange is the multiple inert gas elimination technique (MIGET) [3], which allows for partial assessment of lung heterogeneity and determination of ventilation-perfusion ratio. This is possible by measuring the mixed arterial, venous, and expired concentrations of six infused inert gases [4]. The main limitations of MIGET are high technical demand, invasiveness and analysis based on complex mathematical models.
Another possibility to measure ventilation inhomogeneity is the multiple breath wash out method (MBW). This method is based on the inhalation of inert gases, in the majority of cases sulfur hexafluoride (SF6) together with a mixture of helium, nitrogen and oxygen in a specific concentration. The exhaled gas concentrations are measured at the mouth either by mass spectrometry [5] or by mainstream ultrasonic flow sensors [6] and a lung clearance index (LCI) is calculated. Although LCI is able to determine early ventilation inhomogeneities in the human lung, its use is limited due to the lack of commercially available equipment and the demanding accomplishment of the procedure and interpretation of data [7].
For the aforementioned reasons, imaging techniques are of particular interest to detect regional variations in lung function. Imaging modalities allow for a deeper regional insight into pathophysiological processes and enable improved planning of invasive procedures as well as noninvasive monitoring of therapeutic response. The conventional chest radiography is traditionally used to monitor lung structure, yet it provides no functional information. In clinical routine imaging of the lung function has been primarily restricted to methods based on the application of radioactive labeled tracers, such as planar scintigraphy [8] and single photon emission computed tomography (SPECT) [9], the latter providing three-dimensional images. Ventilation measurement is performed by inhalation of 99,mTc-Technegas, 127Xe or 133Xe, and perfusion by intravenous administration of 99,mTc macroaggregated albumin. The ventilation/perfusion ratio can be studied also using the positron emission tomography (PET) [10]. Besides harmful exposure of patients to ionizing radiation and time consuming examinations, nuclear imaging modalities have a relatively low spatial resolution and poor signal-to-noise ratio, which may lead to inconclusive diagnosis in case of subtle changes in lung function. Additionally, as they provide only static information there is no possibility to track fast physiological processes. Computer tomography (CT) and CT angiography have been established as routine clinical tools for assessment of lung parenchyma and blood vessels structure. In the last years dual-energy xenon- or iodine-enhanced computed tomography (CT) have been intensively investigated for ventilation and perfusion measurements [11,12]. For CT the most important advantages are high spatial resolution with short-examination times. However, high spatial resolution obtained by CT and especially when using ventilation-perfusion CT, is unfortunately associated with a relevant radiation exposure and limits its value for repetitive follow-up examinations in young adults, children, or pregnant women [13,14].
In contrast to CT and the nuclear medicine techniques, magnetic resonance imaging (MRI), a radiation free imaging modality, relies on magnetic properties of atoms possessing spin e.g. hydrogen contained in water or organic molecules in body tissues. MRI uses a strong magnetic field to measure signal induced with radio frequency waves of rotating magnetic moments. Thus, repeated or time-resolved measurements of lung dynamics are harmless for patients, if an allowed specific absorption rate is not exceeded. This fact opened the possibility to develop a broad spectrum of techniques in the last years providing information regarding different aspects of the pulmonary physiology and pathophysiology. Various parameters obtained with these techniques are used to analyze global lung function such as inspiratory or expiratory lung volumes [15], two- or three-dimensional respiratory dynamics [16,17], or regional lung function such as measurements of ventilation, pulmonary perfusion and diffusion. For the clinical application of lung MRI general contraindications (metallic implants, cardiac pacemaker) are valid. Another limiting factor for MRI is of economic nature and related to relatively high costs of examinations as well as the access problem especially to more sophisticated techniques requiring dedicated hardware or trained personnel. Hence, simple and easily implementable MRI based techniques are highly desirable. It is the goal of this article to provide an overview of selected MRI techniques for the assessment of the lung ventilation and perfusion.
Challenges of Lung MRI
Chest MRI as a radiation-free alternative has been explored since the 1990s [18]. It was successfully applied for diagnosis of mediastinal tumors, chest wall masses, or cardiac and large vessel imaging [19,20]. Initially lung parenchyma was not possible to be visualized using MRI. A constant progress in MR technology has also increased the value of this modality for pulmonary parenchymal imaging. Nevertheless, there are several technical and methodological reasons why studying of morphology and function of the lung using MRI is challenging. The major problem is associated with the unique foam like structure of the pulmonary parenchyma in a weight of approximately 1 kg distributed over a volume of 4 to 6 liters. Predominance of air within the pulmonary tissue implies a very low proton density in comparison to other parts of the body. Furthermore, the density of the lung decreases with age [21]. A large number of air-tissue and air-liquid interfaces in lung alveoli leads to local field inhomogeneities, which induces high susceptibility differences on intra-voxel scales responsible for phase dispersion of spins and rapid signal loss. Susceptibility effects are dominant on MR systems with increasing magnetic field strength. On a standard clinical 1.5T MR-scanner the effective transverse relaxation time T2* in lung parenchyma is extremely short of about 1–2 ms, the transverse relaxation time T2 is in range of 30–80 ms and influenced by significant molecular diffusion [22]. On the other hand, the longitudinal relaxation time T1 of 1100 to 1500 ms is relatively long [23]. Thus, going to higher magnetic field strengths in this case is problematic but possible [24]. The second problem of lung imaging is the continuous motion of all surrounding anatomical structures induced by pulsation of vessels, cardiac motion, but first of all by the respiratory movement.
In order to overcome these restrictions, new MR pulse sequences were developed and optimized for morphological and functional clinical chest protocols [25]. These robust pulse sequences use fast two- or three-dimensional techniques with short echo sampling to acquire the rapidly decaying signal. Application of multi-channel phased array coils allows for further acceleration of the data acquisition by using clinically available parallel imaging techniques such as generalized autocalibrating partially parallel acquisitions (GRAPPA) [26] or sensitivity encoding (SENSE) [27]. As a result the influence of motion can be partially suppressed. The simplest way in which the respiratory motion can be reduced is breath-holding. During a single inspiratory or expiratory breath-hold, images of the whole-lung volume can be acquired in about 20 s. However, for patients in poor condition breath-hold can be very demanding. A very popular method uses a navigator sequence to track the diaphragm movement during respiration. The use of navigator echoes allows the patient to continue breathing during the scan, and automatically triggers an imaging sequence to acquire data in an appropriate respiratory phase. During acquisition of the diagnostic data the navigator has to be turned off. Some of recently developed sequences have a build-in navigator for respiratory self-gating [28]. The artifacts associated with cardiac motion and blood pulsation can be minimized using either electrocardiogram monitoring or finger pulse sensor. The main drawback of gating techniques is remarkably prolonged acquisition time. As an alternative solution, other k-space sampling schemes characterized by intrinsic robustness against motion such as radial trajectory can be applied [29].
Current standard thorax imaging protocols comprise fast breath-hold sequences: fat-saturated T1-weighted three-dimensional gradient echo (3D GRE) known as volumetric interpolated breathhold acquisition (VIBE), T2-weighted half-Fourier acquisition single-shot turbo spin-echo (HASTE), as well as free-breathing sequences: balanced steady-state free precession (bSSFP), fat-saturated segmented radial turbo spin echo sequence with periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) aka BLADE [25] (Figure 1A–D). Contrast-enhanced protocol includes 3D GRE (volumetric interpolated breath-hold acquisition), high resolution angiography (Figure 1E), as well as perfusion measurement using dynamic contrast-enhanced MRI (Figure 1F), a technique described in detail in the further part of this article.
Hyperpolarized Gas Lung MRI
Not only hydrogen but also all nuclear magnetic resonance sensitive atoms can be used to generate MRI signal. For instance, inert noble gases possessing spin 1/2 such as 3He and 129Xe may serve as gaseous tracers that allow visualization of the ventilated airways and alveolar spaces. Since the density of these gases is too low to produce detectable signal, optical pumping must be applied to increase the amount of polarization per unit volume of gas. Two different techniques are used to polarize 3He: spin exchange optical pumping (SEOP) [30,31] by the indirect transfer of angular moment from a laser source to the nucleus, or meta-stable spin exchange optical pumping (MEOP) [32] where a radio frequency discharge promotes a fraction of atoms into a metastable state and allows for direct transfer of the angular momentum from laser to the nucleus. With the use of this process, the so called hyperpolarization is obtained by increasing the difference between spin populations defined by the Boltzmann distribution by a factor of∼105. The magnetization decays with a characteristic relaxation time T1 and is nonreversible. The gas can be stored for a period of a few days, which is sufficient to transport it to other imaging centers [33]. Hyperpolarized helium-3 is usually delivered to the subject for inhalation as a mixture with a larger volume of nitrogen. Due to the contact with paramagnetic oxygen in the lung the T1 of the hyper-polarized 3He is on order of 20–30 s, which is long enough to acquire the data from the whole lung volume. First images of the human lung using hyperpolarized 3He were obtained in mid 1990s [34,35]. Since that time, the imaging methodology greatly improved and provides excellent quality to assess lung static and dynamic ventilation. Other applications in human studies include imaging of breathing dynamics [36,37], estimation of the apparent diffusion coefficient by exploiting the high diffusivity of helium [38,39], or measurements of oxygen partial pressure when 3He is delivered for inhalation with a fraction of O2 instead of N2 [40,41].
During the last years, a significant clinical experience using 3He MRI has been documented in the literature [42,43]. The technique has found application in studies of different pulmonary diseases including asthma [44–46], chronic obstructive lung disease (COPD) [47–49], cystic fibrosis [50–52], or bronchiolitis obliterans syndrome after lung transplantation [53–55]. Unlike in healthy subjects, where ventilation is homogenous throughout the lung and air spaces are filled simultaneously in all lung regions (Figure 2) in patients with airway diseases the ventilation distribution is patchy and none simultaneously. Despite the great potential of hyperpolarized 3He MRI the main obstacle for its widespread clinical application is its limited supply, the sophisticated technical equipment for hyperpolarization and finally the very high price of the helium-3 isotope [56].
Another noble gas that can be used for MRI is 129Xe. First experiments with hyperpolarized 129Xe MRI were performed in the 1990s [57,58]. Due to the high natural abundance, it is much easier available for medical purposes in comparison to 3He. Currently researchers are focused to translate the 3He MRI methodology for xenon-129 based imaging. Despite the fact that it is more difficult to achieve high enough polarization using the SEOP method in 129Xe, new efficient polarization systems have been constructed [59,60]. However, xenon-129 is characterized by a almost three times lower gyromagnetic ratio, therefore less MR signal can be detected. It exhibits relatively high solubility in blood and tissues as well as sensitivity to the environment, which results in a large chemical shift of about ∼200 ppm relative to the gas-phase resonance frequency. This allows the acquisition of functional parameters characterizing the gas exchange but also gas uptake by imaging the dissolved-phase [61]. Recent work of Mugler et al. presents the possibility of gas- and dissolved-phase acquisition during a single scan [62]. By using xenon’s diffusion property with xenon transfer contrast or chemical shift saturation recovery, various microstructure parameters including alveolar-volume ratio, blood-gas barrier thickness, and surface-to-volume ratio can be determined [63,64]. The major drawback of xenon-129 associated with solubility is its anesthetic property [65]. Therefore, the gas concentration must be kept on a safe level with continuous monitoring of the blood oxygenation level. The clinical experience with 129Xe lung MRI is still limited to first case studies in groups of COPD and asthma subjects [66,67]. Thus, its safety and tolerability is a topic of current investigations.
Due to the recent advances in the polarization and imaging methodology, a quality comparable to 3He MRI can be achieved by 129Xe. Both hyperpolarized imaging techniques allow for the measurement of the whole-chest within a single breathhold using 5 to 10 mm thick sections with up to 1 mm in-plane resolution. For implementations on a 1.5T and 3T field strength, multi-slice 2D or 3D acquisitions with fast low angle shot (FLASH) or balanced steady-state free precession (bSSFP) sequences are generally used [68].
In view of a the requirement for sophisticated equipment and relatively high production costs of hyperpolarized tracers these imaging techniques are so far only available at a limited number of research centers and not validated yet for clinical use.
Oxygen Enhanced MRI
Application of molecular oxygen as a contrast medium for conventional 1H MRI of the lung was first suggested by Edelman et al. [69]. Inhalation of oxygen-enriched gas increases the partial oxygen pressure in the pulmonary alveoli and the oxygen diffusion from alveoli into the blood capillaries [70]. Paramagnetic properties of dissolved molecular oxygen and deoxyhemoglobin cause a T1-shortening effect, which is proportional to the oxygen concentration in the inhaled gas [71]. The reduced relaxation time enhances the signal intensity in T1-weighted imaging, and allows for determination of regional oxygen transfer influenced by pulmonary ventilation, perfusion and diffusion. Thus, regions with impeded lung function can be visualized. Since the application of oxygen-enhanced (OE) MRI is easy to implement and inexpensive, different studies have been conducted for evaluation of this technique.
The simplest way in which the imaging can be performed is by acquisition of two separate data sets. The first set of images is measured when breathing room air. Subsequently, oxygen at a flow rate of 15–25 L/min is administered through a mask for several minutes to achieve a steady-state concentration in the lung, which continues during the acquisition of the second data set. A subtraction image or a map showing relative difference of the signal enhancement can be calculated. Figure 3 shows an example of oxygen-enhanced images obtain in a healthy volunteer. The image acquisition of both sets is performed in breath-hold, as a consequence misregistration artifacts especially in the diaphragmatic regions may occur. To minimize this effect triggering or image registration techniques must be applied [72,73]. Also the influence of the blood flow and cardiac pulsation on the signal intensity should not be neglected. The second imaging method is based on the data acquisition during the wash-in process. Analysis of the signal slope for different concentration of oxygen provides additional information allowing for calculation of so-called oxygen transfer function, which can correlate with a pulmonary pathology [74,75].
Furthermore, using OE MRI it is also possible to measure regional changes of T2* [76]. This approach, however, is very difficult since the measured change in the extremely short relaxation time is minimal. To summarize, OE MRI is a safe and easily implementable method to assess the lung function. For a routine clinical use, the major disadvantage of this technique is very long examination time. Thus, the majority of studies were limited to acquire only single or several 2D slices. Secondly, OE MRI does not provide a direct measure of ventilation; it is influenced by pulmonary perfusion and oxygen diffusion.
Perfusion Dynamic Contrast-Enhanced MRI
Evaluation of lung perfusion is of particular interest for diagnosis of different pulmonary diseases. Pulmonary perfusion is strongly influenced by regional ventilation. Both parameters are kept in balance, which is required for efficient gas exchange. Hypoxic vasoconstriction plays here a significant role to prevent localized ventilation/perfusion mismatching by reduction of the blood flow to the unventilated lung regions [77]. In other cases the perfusion can be reduced without impairment of ventilation as a result of pulmonary embolism.
Several MRI techniques have been described to image lung perfusion. The well-established and increasingly popular method, which has shown a particular usefulness for diagnosis and differentiation of different lung pathologies, is known as dynamic contrast-enhanced (DCE) imaging [78]. The basic principle of DCE MRI is time-resolved data acquisition following an intravenous bolus injection of a paramagnetic contrast agent such as gadolinium diethylenetraminepentaacetic acid (Gd-DTPA). The injected contrast agent circulates through the body and diffuses into the extravascular extracellular space. Increase of the local contrast agent concentration results in a reduction of the longitudinal relaxation time T1 and signal enhancement in a voxel. Application of 3D T1-weighted sequences enables tracking the signal enhancement in the whole lungs as the contrast passes through the pulmonary circulation. The acquired data can be analyzed by visual assessment, calculation of descriptive parameters, or quantitative parameters using different tracer kinetic theories [79]. For the visual assessment of DCE MRI often a simple subtraction of the data obtained during the peak signal enhancement and before contrast agent administration is used. Regions with reduced parenchymal perfusion are identified as areas of low contrast enhancement (Figures 1F and 6A). This method, however, neglects the majority of information contained in the temporal component of the dynamic acquisition. Another simple and practical analysis of DCE images is based on estimation of additional parameters describing the signal curve such as time to peak enhancement, bolus arrival time, and maximum enhancement [80] (Figure 4). By combining this approach with statistical analysis of the semi-quantitative parameters and automatic lung segmentation is possible to estimate percentage of perfusion defects per lung region, which is similar to the information usually obtained from SPECT data [81]. A more complex analysis of pulmonary perfusion using the indicator dilution theory allows for quantitative estimation of pulmonary blood volume, pulmonary blood flow and mean transit time [78,82–84]. The calculations are based on pixel-wise numerical deconvolution of the contrast concentration curve and arterial input function obtained from the time-resolved data set. In order to obtain correct physiological values it is important to assure a linear relationship between the local contrast agent concentration and MR signal intensity [85], which is given only at very low concentrations of applied contrast media. Furthermore, the results can be strongly influenced by respiratory motion and high noise level.
Different studies have been performed for the evaluation of the diagnostic value of DCE MRI in patients with pulmonary embolism [86,87], COPD [88], cystic fibrosis [89,90], pulmonary hypertension [91,92], as well as in oncologic field for detection of bronchial carcinoma, or evaluation of postoperative lung function [93]. The technique was also validated against standard clinical tools including scintigraphy, SPECT and CT [93,94] as well as tested for its reproducibility [95]. Up to now it is the best validated MR perfusion imaging method with well documented clinical impact in the early diagnosis of cystic fibrosis and the assessment of therapy response [96,97].
Current imaging protocols for DCE MRI include 3D fast low angle shot (FLASH), time-resolved echo-shared angiographic technique (TREAT), time-resolved imaging of contrast kinetics (TRICKS), or time resolved angiography with interleaved stochastic trajectories (TWIST) imaging sequences [98–100]. By application of parallel imaging and view sharing techniques these sequences offer a very good spatial and temporal resolution of about 1.5×1.5 mm2 with 5 mm section thickness and the acquisition rate of 2 volumes per second.
Despite the fact that gadolinium based contrast agents are generally well tolerated by the vast majority of patients there is a limit in the total amount of contrast material, which can be introduced intravenously to the patient in a given period of time, limiting the number of possible acquisitions. There are known risks associated with the use gadolinium based contrast agent, which include acute allergic reactions and a possibility of development of nephrogenic systemic fibrosis in patients with severely impaired renal function [101,102]. Furthermore, administration of contrast agents should be also carefully considered in neonates or infants up to one year of age because the effect of Gd-DTPA on the still developing kidney in these age groups is not well understood.
Non-Contrast-Enhanced Imaging Techniques
So far, all presented techniques in this article require the administration of gaseous tracers or injection of intravenous contrast media for assessment of pulmonary ventilation and perfusion. In the last years, alternative non-contrast-enhanced imaging methods have received much attention. One of them is pulmonary perfusion arterial spin labeling (ASL) MRI [103,104]. This technique is well-known from cerebral perfusion measurements. It uses magnetically-tagged water protons in arterial blood as a contrast bolus to measure blood delivery to the lung tissue. Blood is tagged by application of radio frequency pulses to invert the magnetization. ASL is based on acquisition of so-called control and tag images at the same anatomical location using different schemes of magnetization inversion [105]. A perfusion map is produced by subtraction of these images and application of a quantitative model for estimation of the pulmonary blood flow [106]. Nevertheless, the implementation of this non-invasive technique for thoracic imaging is difficult due to respiratory motion and signal change induced by pulmonary blood flow. Image acquisition is usually performed using an ECG-triggered 2D HASTE sequence at 1.5 T. To measure the small signal difference in the lung parenchyma a certain number of averages is required to obtain reasonable signal-to-noise ratio, which can significantly prolong the examination time.
Recently, a two-compartment inversion recovery (TCIR) technique was proposed for quantitative regional estimation of the fractional pulmonary blood volume (fPBV) without the application of contrast media [107]. The method assumes that total signal measured in the lung parenchyma arises from intravascular and extravascular protons. By performing a series of inversion recovery experiments it is possible to separate both signal components characterized by different longitudinal relaxation times, resulting in a map of the fPBV. Similarly to ASL this technique is based on ECG-triggered 2D HASTE sequence and is able to produce high resolution maps of the fPBV. Figure 5 shows an example of a fPBV map measured in a healthy volunteer.
One of the latest developments in the field of functional lung 1H MRI is known as Fourier decomposition (FD) method [108,109]. This non-invasive technique provides both ventilation-weighted (Vw) and perfusion-weighted (Qw) information from a single acquisition series and requires no administration of contrast media, as well as no further patient compliance such as repeated, or prolonged breath hold. The imaging is performed using a 2D multi-slice time-resolved bSSFP pulse sequence in free breathing. In order to increase the signal intensity from the lung parenchyma an asymmetric sampling of very short echo time combined with parallel imaging is applied. Each image within the acquired data set is registered to a chosen reference image for correction of respiratory motion [110]. Two physiological processes, respiration and cardiac cycle influence the signal intensity in the lung by the deformation of the pulmonary tissue and blood dependent signal dephasing, respectively [111,112]. Signal intensity values are measured during expiration and diastolic heart phase are higher than the values in inspiration and systolic phase. Pixel-wise Fourier analysis can be used to separate these periodic signal intensity variations at the respiratory and cardiac frequencies. Amplitude of the regional signal intensity modulation is used to generate Vw and Qw images. The technique was recently qualitatively validated with the clinical gold-standard ventilation/perfusion SPECT measurements in a large-scale animal model [113]. Nevertheless, the quantitative signal analysis in FD MRI is still a subject to further investigation. Initial studies in healthy volunteers and cystic fibrosis patients have shown the feasibility of this technique to detect functional lung changes [114]. Figure 6 shows Vw and Qw images obtained in a cystic fibrosis patient in comparison to DCE MRI from a corresponding slice location. The technique is implementable on routine clinical equipment and requires 10–15 minutes examination time to cover the whole lung volume.
Conclusions
Along with the progress in the MR technology the functional lung imaging undergoes a dynamic evolution. Development of new approaches for the assessment of the lung function is motivated by scientific questions regarding the human lung physiology and pathophygiology of pulmonary diseases, as well as by the need for fast and robust clinically applicable imaging techniques. Functional lung parameters obtained using MRI provide often complementary information to standard imaging modalities. The strength of MRI is especially notable in the field of dynamic imaging allowing for tracking fast physiological changes in regional ventilation and perfusion. Due to the increasing availability, MRI can be a promising ionizing-free alternative to techniques like computed tomography or nuclear medicine techniques for the evaluation of lung function.
References:
- 1.Altalag A, Road J, Wilcox P. Springer-Verlag London Limited. London, UK: 2009. Pulmonary Function Tests in Clinical Practice; pp. 1–37. [Google Scholar]
- 2.de Jong PA, Nakano Y, Lequin MH, et al. Progressive damage on high resolution computed tomography despite stable lung function in cystic fibrosis. Eur Respir J. 2004;23(1):93–97. doi: 10.1183/09031936.03.00006603. [DOI] [PubMed] [Google Scholar]
- 3.Wagner PD. The multiple inert gas elimination technique (MIGET) Intensive Care Med. 2008;34:994–1001. doi: 10.1007/s00134-008-1108-6. [DOI] [PubMed] [Google Scholar]
- 4.Anderson JC, Hlastala MP. Impact of airway gas exchange on the multiple inert gas elimination technique: theory. Ann Biomed Eng. 2010;38(3):1017–30. doi: 10.1007/s10439-009-9884-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Gustafsson PM, Aurora P, Lindblad A. Evaluation of ventilation maldistribution as an early indicator of lung disease in children with cystic fibrosis. Eur Respir J. 2003;22(6):972–79. doi: 10.1183/09031936.03.00049502. [DOI] [PubMed] [Google Scholar]
- 6.Fuchs SI, Buess C, Lum S, et al. Multiple breath washout with a sidestream ultrasonic flow sensor and mass spectrometry: a comparative study. Pediatr Pulmonol. 2006;41(12):1218–25. doi: 10.1002/ppul.20524. [DOI] [PubMed] [Google Scholar]
- 7.Thia L, Hoo AF, Nguyen TD, et al. Improvement in lung function during the 1st year of life in infants diagnosed with CF through newborn screening (NBS). Abstract 4656, ERS Congress; 2011; Amsterdam. [Google Scholar]
- 8.Patz EF, Coleman RE. Nuclear medicine techniques. In: Mason RJ, Murray J, Broaddus VC, Nadel J, editors. Textbook of Respiratory Medicine. Saunders Elsevier; Philadelphia, PA, USA: 2005. pp. 594–99. [Google Scholar]
- 9.Roach PJ, Bailey DL, Harris BE. Enhancing lung scintigraphy with single-photon emission computed tomography. Semin Nucl Med. 2008;38(6):441–99. doi: 10.1053/j.semnuclmed.2008.06.002. [DOI] [PubMed] [Google Scholar]
- 10.Vidal Melo MF, Layfield D, Harris RS, et al. Quantification of regional ventilation-perfusion ratios with PET. J Nucl Med. 2003;44:1982–91. [PubMed] [Google Scholar]
- 11.Thieme SF, Hoegl S, Nikolaou K, et al. Pulmonary ventilation and perfusion imaging with dual-energy CT. Eur Radiol. 2010;20(12):2882–89. doi: 10.1007/s00330-010-1866-8. [DOI] [PubMed] [Google Scholar]
- 12.Chae EJ, Seo JB, Goo HW, et al. Xenon ventilation CT with a dual-energy technique of dual-source CT: initial experience. Radiology. 2008;248(2):615–24. doi: 10.1148/radiol.2482071482. [DOI] [PubMed] [Google Scholar]
- 13.Donadieu J, Roudier C, Saguintaah M, et al. Estimation of the radiation dose from thoracic CT scans in a cystic fibrosis population. Chest. 2007;132(4):1233–38. doi: 10.1378/chest.07-0221. [DOI] [PubMed] [Google Scholar]
- 14.Revel MP, Cohen S, Sanchez O, et al. Pulmonary embolism during pregnancy: diagnosis with lung scintigraphy or CT angiography? Radiology. 2011;258(2):590–98. doi: 10.1148/radiol.10100986. [DOI] [PubMed] [Google Scholar]
- 15.Plathow C, Ley S, Fink C, et al. Evaluation of lung volumetry using dynamic three-dimensional magnetic resonance imaging. Invest Radiol. 2004;40(3):173–79. doi: 10.1097/00004424-200503000-00007. [DOI] [PubMed] [Google Scholar]
- 16.Tetzlaff R, Schwarz T, Kauczor HU, et al. Function Measurement of Single Lungs by Lung Area Segmentation on 2D Dynamic MRI. Acad Radiol. 2010;17(4):496–503. doi: 10.1016/j.acra.2009.11.009. [DOI] [PubMed] [Google Scholar]
- 17.Swift AJ, Woodhouse N, Fichele S, et al. Rapid lung volumetry using ultrafast dynamic magnetic resonance imaging during forced vital capacity maneuver: correlation with spirometry. Invest Radiol. 2007;42(1):37–41. doi: 10.1097/01.rli.0000250735.92266.6b. [DOI] [PubMed] [Google Scholar]
- 18.Cutillo AG, editor. Application of Magnetic Resonance to the Study of Lung. Futura Publishing Company, Inc; Armonk, NY, USA: 1996. [Google Scholar]
- 19.Landwehr P, Schulte O, Lackner K. MR imaging of the chest: mediastinum and chest wall. Eur Radiol. 1999;9(9):1737–44. doi: 10.1007/s003300050917. [DOI] [PubMed] [Google Scholar]
- 20.Pedersen MR, Fisher MT, van Beek EJ. MR imaging of the pulmonary vasculature – an update. Eur Radiol. 2006;16(6):1374–86. doi: 10.1007/s00330-005-0109-x. [DOI] [PubMed] [Google Scholar]
- 21.Long FR, Williams RS, Castile RG. Inspiratory and expiratory CT lung density in infants and young children. Pediatr Radiol. 2005;35:677–83. doi: 10.1007/s00247-005-1450-6. [DOI] [PubMed] [Google Scholar]
- 22.Hatabu H, Alsop DC, Listerud J, et al. T2* and proton density measurement of normal human lung parenchyma using submillisecond echo time gradient echo magnetic resonance imaging. Eur J Radiol. 1999;29:245–52. doi: 10.1016/s0720-048x(98)00169-7. [DOI] [PubMed] [Google Scholar]
- 23.Stadler A, Jakob PM, Griswold M, et al. T1 mapping of the entire lung parenchyma: Influence of the respiratory phase in healthy individuals. J Magn Reson Imaging. 2005;21:759–64. doi: 10.1002/jmri.20319. [DOI] [PubMed] [Google Scholar]
- 24.Fink C, Puderbach M, Biederer J, et al. Lung MRI at 1.5 and 3 Tesla: observer preference study and lesion contrast using five different pulse sequences. Invest Radiol. 2007;42(6):377–83. doi: 10.1097/01.rli.0000261926.86278.96. [DOI] [PubMed] [Google Scholar]
- 25.Puderbach M, Hintze C, Ley S, et al. MR imaging of the chest: a practical approach at 1.5T. Eur J Radiol. 2007;64(3):345–55. doi: 10.1016/j.ejrad.2007.08.009. [DOI] [PubMed] [Google Scholar]
- 26.Griswold MA, Jakob PM, Heidemann RM, et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA) Magn Reson Med. 2002;47(6):1202–10. doi: 10.1002/mrm.10171. [DOI] [PubMed] [Google Scholar]
- 27.Pruessmann KP, Weiger M, Scheidegger MB, et al. SENSE: sensitivity encoding for fast MRI. Magn Reson Med. 1999;42(5):952–62. [PubMed] [Google Scholar]
- 28.Weick S, Oechsner M, Blaimer M, et al. Self-gated 3D FLASH imaging of the human lung under free breathing using DC signals; Proceedings of the 17th Annual Meeting of ISMRM; Honolulu, Hawaii, USA. 2009; 2009. [Google Scholar]
- 29.Block KT, Uecker M, Frahm J. Undersampled radial MRI with multiple coils. Iterative image reconstruction using a total variation constraint. Magn Reson Med. 2007;57(6):1086–98. doi: 10.1002/mrm.21236. [DOI] [PubMed] [Google Scholar]
- 30.Bouchiat M, Carver T, Varnum C. Nuclear polarization in 3He gas induced by optical pumping and dipolar exchange. Phys Rev Lett. 1960;5:373–75. [Google Scholar]
- 31.Appelt S, Ben-Amar Baranga A, Rickson J, et al. Theory of spin-exchange optical pumping of 3He and 129Xe. Phys Rev A. 1998;58:1412–39. [Google Scholar]
- 32.Colegrove F. Polarization of He-3 gas by optical pumping. Phys Rev. 1963;132:2561. [Google Scholar]
- 33.Wild JM, Schmiedeskamp J, Paley MN, et al. MR imaging of the lungs with hyperpolarized helium-3 gas transported by air. Phys Med Biol. 2002;47:185–90. doi: 10.1088/0031-9155/47/13/401. [DOI] [PubMed] [Google Scholar]
- 34.Middleton H, Black RD, Saam B. MR imaging with hyperpolarized 3He gas. Magn Reson Med. 1995;33:271–75. doi: 10.1002/mrm.1910330219. [DOI] [PubMed] [Google Scholar]
- 35.Ebert M, Grossmann T, Heil W, et al. Nuclear magnetic resonance imaging with hyperpolarised helium-3. Lancet. 1996;347:1297–99. doi: 10.1016/s0140-6736(96)90940-x. [DOI] [PubMed] [Google Scholar]
- 36.Wild JM, Paley MN, Kasuboski L, et al. Dynamic radial projection MRI of inhaled hyperpolarized 3He gas. Magn Reson Med. 2003;49:991–97. doi: 10.1002/mrm.10477. [DOI] [PubMed] [Google Scholar]
- 37.Holmes JH, O’Halloran RL, Brodsky EK. Three-dimensional imaging of ventilation dynamics in asthmatics using multiecho projection acquisition with constrained reconstruction. Magn Reson Med. 2009;62(6):1543–56. doi: 10.1002/mrm.22150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Habib D, Grebenkov D, Guillot G. Gas diffusion in a pulmonary acinus model: experiments with hyperpolarized helium-3. Magn Reson Imaging. 2008;26(8):1101–13. doi: 10.1016/j.mri.2008.02.010. [DOI] [PubMed] [Google Scholar]
- 39.Mugler JP, III, Wang C, Miller GW, et al. Helium-3 diffusion MR imaging of the human lung over multiple time scales. Acad Radiol. 2008;15(6):693–701. doi: 10.1016/j.acra.2007.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Deninger AJ, Eberle B, Ebert M, et al. (3)he-MRI-based measurements of intrapulmonary p(O2) and its time course during apnea in healthy volunteers: first results, reproducibility, and technical limitations. NMR Biomed. 2000;13(4):194–201. doi: 10.1002/1099-1492(200006)13:4<194::aid-nbm643>3.0.co;2-d. [DOI] [PubMed] [Google Scholar]
- 41.Miller GW, Mugler JP, III, Altes TA, et al. A short-breath-hold technique for lung pO2 mapping with 3He MRI. Magn Reson Med. 2010;63(1):127–36. doi: 10.1002/mrm.22181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Altes TA, Salerno M. Hyperpolarized gas MR imaging of the lung. J Thorac Imaging. 2004;19(4):250–58. doi: 10.1097/01.rti.0000142837.52729.38. [DOI] [PubMed] [Google Scholar]
- 43.Fain S, Schiebler ML, McCormack DG, et al. Imaging of lung function using hyperpolarized helium-3 magnetic resonance imaging: Review of current and emerging translational methods and applications. J Magn Reson Imaging. 2010;32(6):1398–408. doi: 10.1002/jmri.22375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Altes TA, Powers PL, Knight-Scott J, et al. Hyperpolarized 3He MR lung ventilation imaging in asthmatics: preliminary findings. J Magn Reson Imaging. 2001;13(3):378–84. doi: 10.1002/jmri.1054. [DOI] [PubMed] [Google Scholar]
- 45.de Lange EE, Altes TA, Patrie JT, et al. Evaluation of asthma with hyperpolarized helium-3 MRI: correlation with clinical severity and spirometry. Chest. 2006;130(4):1055–62. doi: 10.1378/chest.130.4.1055. [DOI] [PubMed] [Google Scholar]
- 46.Fain SB, Gonzalez-Fernandez G, Peterson ET, et al. Evaluation of structure-function relationships in asthma using multidetector CT and hyperpolarized He-3 MRI. Acad Radiol. 2008;15(6):753–62. doi: 10.1016/j.acra.2007.10.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Saam B, Yablonskiy D, Kodibagkar V, et al. MR imaging of diffusion of 3He gas in healthy and diseased lungs. Magn Reson Med. 2000;44:174–79. doi: 10.1002/1522-2594(200008)44:2<174::aid-mrm2>3.0.co;2-4. [DOI] [PubMed] [Google Scholar]
- 48.van Beek EJ, Dahmen AM, Stavngaard T, et al. Hyperpolarised 3He MRI versus HRCT in COPD and normal volunteers: PHIL trial. Eur Respir J. 2009;34(6):1311–21. doi: 10.1183/09031936.00138508. [DOI] [PubMed] [Google Scholar]
- 49.Kirby M, Mathew L, Wheatley A, et al. Chronic obstructive pulmonary disease: longitudinal hyperpolarized (3)He MR imaging. Radiology. 2010;256(1):280–89. doi: 10.1148/radiol.10091937. [DOI] [PubMed] [Google Scholar]
- 50.Donnelly LF, MacFall JR, McAdams HP, et al. Cystic fibrosis: combined hyperpolarized 3He-enhanced and conventional proton MR imaging in the lung - preliminary observations. Radiology. 1999;212(3):885–89. doi: 10.1148/radiology.212.3.r99se20885. [DOI] [PubMed] [Google Scholar]
- 51.Mentore K, Froh DK, de Lange EE, et al. Hyperpolarized HHe 3 MRI of the lung in cystic fibrosis: assessment at baseline and after bronchodilator and airway clearance treatment. Acad Radiol. 2005;12(11):1423–29. doi: 10.1016/j.acra.2005.07.008. [DOI] [PubMed] [Google Scholar]
- 52.Bannier E, Cieslar K, Mosbah K, et al. Hyperpolarized 3He MR for sensitive imaging of ventilation function and treatment efficiency in young cystic fibrosis patients with normal lung function. Radiology. 2010;255(1):225–32. doi: 10.1148/radiol.09090039. [DOI] [PubMed] [Google Scholar]
- 53.McAdams HP, Palmer SM, Donnelly LF, et al. Hyperpolarized 3He-enhanced MR imaging of lung transplant recipients: preliminary results. AJR Am J Roentgenol. 1999;173(4):955–59. doi: 10.2214/ajr.173.4.10511156. [DOI] [PubMed] [Google Scholar]
- 54.Lipson DA, Roberts DA, Hansen-Flaschen J, et al. Pulmonary ventilation and perfusion scanning using hyperpolarized helium-3 MRI and arterial spin tagging in healthy normal subjects and in pulmonary embolism and orthotopic lung transplant patients. Magn Reson Med. 2002;47(6):1073–76. doi: 10.1002/mrm.10172. [DOI] [PubMed] [Google Scholar]
- 55.Gast KK, Biedermann A, Herweling A, et al. Oxygen-sensitive 3He-MRI in bronchiolitis obliterans after lung transplantation. Eur Radiol. 2008;18(3):530–37. doi: 10.1007/s00330-007-0778-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Shea DA, Morgan D. The Helium-3 Shortage: Supply, Demand, and Options for Congress. [Federation of American Scientists Web site]. http://www.fas.org/sgp/crs/misc/R41419.pdf (accessed 08.07.2011) [Google Scholar]
- 57.Albert MS, Cates GD, Driehuys B, et al. Biological magnetic resonance imaging using laser-polarized 129Xe. Nature. 1994;370:199–201. doi: 10.1038/370199a0. [DOI] [PubMed] [Google Scholar]
- 58.Mugler JP, III, Driehuys B, Brookeman JR, et al. MR imaging and spectroscopy using hyperpolarized 129Xe gas: preliminary human results. Magn Reson Med. 1997;37(6):809–15. doi: 10.1002/mrm.1910370602. [DOI] [PubMed] [Google Scholar]
- 59.Ruset IC, Ketel S, Hersman FW. Optical pumping system design for large production of hyperpolarized Xe-129. Phys Rev Lett. 2006:96. doi: 10.1103/PhysRevLett.96.053002. [DOI] [PubMed] [Google Scholar]
- 60.Hersman FW, Ruset IC, Ketel S, et al. Large production system for hyperpolarized 129Xe for human lung imaging studies. Acad Radiol. 2008;15:683–92. doi: 10.1016/j.acra.2007.09.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Wagshul ME, Button TM, Li HF, et al. In vivo MR imaging and spectroscopy using hyperpolarized 129Xe. Magn Reson Med. 1996;36(2):183–91. doi: 10.1002/mrm.1910360203. [DOI] [PubMed] [Google Scholar]
- 62.Mugler JP, III, Altes TA, Ruset IC, et al. Simultaneous magnetic resonance imaging of ventilation distribution and gas uptake in the human lung using hyperpolarized xenon-129. Proc Natl Acad Sci USA. 2010;107(50):21707–12. doi: 10.1073/pnas.1011912107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Ruppert K, Brookeman JR, Hagspiel KD, Mugler JP., III Probing lung physiology with xenon polarization transfer contrast (XTC) Magn Reson Med. 2000;44(3):349–57. doi: 10.1002/1522-2594(200009)44:3<349::aid-mrm2>3.0.co;2-j. [DOI] [PubMed] [Google Scholar]
- 64.Patz S, Muradian I, Hrovat MI, et al. Human pulmonary imaging and spectroscopy with hyperpolarized 129Xe at 0.2T. Acad Radiol. 2008;15(6):713–27. doi: 10.1016/j.acra.2008.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Latchaw RE, Yonas H, Pentheny SL, Gur D. Adverse reactions to xenon-enhanced CT cerebral blood flow determination. Radiology. 1987;163:251–54. doi: 10.1148/radiology.163.1.3823444. [DOI] [PubMed] [Google Scholar]
- 66.Dregely I, Mugler JP, III, Ruset IC, et al. Hyperpolarized Xenon-129 gas-exchange imaging of lung microstructure: first case studies in subjects with obstructive lung disease. J Magn Reson Imaging. 2011;33(5):1052–62. doi: 10.1002/jmri.22533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Kaushik SS, Cleveland ZI, Cofer GP, et al. Diffusion-weighted hyperpolarized 129Xe MRI in healthy volunteers and subjects with chronic obstructive pulmonary disease. Magn Reson Med. 2011;65(4):1154–65. doi: 10.1002/mrm.22697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Wild JM, Teh K, Woodhouse N, et al. Steady-state free precession with hyperpolarized 3He: experiments and theory. J Magn Reson. 2006;183(1):13–24. doi: 10.1016/j.jmr.2006.07.015. [DOI] [PubMed] [Google Scholar]
- 69.Edelman RR, Hatabu H, Tadamura E, et al. Noninvasive assessment of regional ventilation in the human lung using oxygen-enhanced magnetic resonance imaging. Nat Med. 1996;2:1236–39. doi: 10.1038/nm1196-1236. [DOI] [PubMed] [Google Scholar]
- 70.Brooks RA, Di Chiro G. Magnetic resonance imaging of stationary blood: a review. Med Phys. 1987;14:903–13. doi: 10.1118/1.595994. [DOI] [PubMed] [Google Scholar]
- 71.Ohno Y, Chen Q, Hatabu H. Oxygen-enhanced magnetic resonance ventilation imaging of lung. Eur J Radiol. 2001;37:164–71. doi: 10.1016/s0720-048x(00)00299-0. [DOI] [PubMed] [Google Scholar]
- 72.Molinari F, Eichinger M, Risse F, et al. Navigator-triggered oxygen-enhanced MRI with simultaneous cardiac and respiratory synchronization for the assessment of interstitial lung disease. J Magn Reson Imaging. 2007;26(6):1523–29. doi: 10.1002/jmri.21043. [DOI] [PubMed] [Google Scholar]
- 73.Molinari F, Bauman G, Paolantonio G, et al. Improvement of multislice oxygen-enhanced MRI of the lung by fully automatic non-rigid image registration. Eur J Radiol. 2011 doi: 10.1016/j.ejrad.2011.11.002. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 74.Jakob PM, Wang T, Schultz G, et al. Assessment of human pulmonary function using oxygen-enhanced T(1) imaging in patients with cystic fibrosis. Magn Reson Med. 2004;51(5):1009–16. doi: 10.1002/mrm.20051. [DOI] [PubMed] [Google Scholar]
- 75.Stadler A, Stiebellehner L, Jakob PM, et al. Quantitative and o(2) enhanced MRI of the pathologic lung: findings in emphysema, fibrosis, and cystic fibrosis. Int J Biomed Imaging. 2007;2007:23624. doi: 10.1155/2007/23624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Pracht ED, Arnold JF, Wang T, Jakob PM. Oxygen-enhanced proton imaging of the human lung using T2. Magn Reson Med. 2005;53:1193–96. doi: 10.1002/mrm.20448. [DOI] [PubMed] [Google Scholar]
- 77.Euler US, Liljestrand G. Observations on the Pulmonary Arterial Blood Pressure in the Cat. Acta Phys Scandinav. 1947;12:301–20. [Google Scholar]
- 78.Hatabu H, Gaa J, Kim D, et al. Pulmonary perfusion: qualitative assessment with dynamic contrast-enhanced MRI using ultra-short TE and inversion recovery turbo FLASH. Magn Reson Med. 1996;36(4):503–8. doi: 10.1002/mrm.1910360402. [DOI] [PubMed] [Google Scholar]
- 79.Rosen BR, Belliveau JW, Vevea JM, Brady TJ. Perfusion imaging with NMR contrast agents. Magn Reson Med. 1990;14(2):249–65. doi: 10.1002/mrm.1910140211. [DOI] [PubMed] [Google Scholar]
- 80.Risse F, Eichinger M, Kauczor HU, et al. Improved visualization of delayed perfusion in lung MRI. Eur J Radiol. 2011;77(1):105–10. doi: 10.1016/j.ejrad.2009.07.025. [DOI] [PubMed] [Google Scholar]
- 81.Heimann T, Eichinger M, Bauman G, et al. Automated Scoring of Regional Lung Perfusion in Children from contrast enhanced 3D MRI. Proceedings of SPIE; San Diego, CA, USA. 2012. pp. 8315–29. [Google Scholar]
- 82.Levin DL, Chen Q, Zhang M, et al. Evaluation of regional pulmonary perfusion using ultrafast magnetic resonance imaging. Magn Reson Med. 2001;46(1):166–71. doi: 10.1002/mrm.1172. [DOI] [PubMed] [Google Scholar]
- 83.Fink C, Risse F, Buhmann R, et al. Quantitative analysis of pulmonary perfusion using time-resolved parallel 3D MRI – initial results. Rofo. 2004;176(2):170–74. doi: 10.1055/s-2004-817624. [DOI] [PubMed] [Google Scholar]
- 84.Nikolaou K, Schoenberg SO, Brix G, et al. Quantification of pulmonary blood flowand volume in healthy volunteers by dynamic contrast-enhanced magnetic resonance imaging using a parallel imaging technique. Invest Radiol. 2004;39(9):537–45. doi: 10.1097/01.rli.0000133813.22873.47. [DOI] [PubMed] [Google Scholar]
- 85.Puderbach M, Risse F, Biederer J, et al. In vivo Gd-DTPA concentration for MR lung perfusion measurements: assessment with computed tomography in a porcine model. Eur Radiol. 2008;18(10):2102–7. doi: 10.1007/s00330-008-0974-1. [DOI] [PubMed] [Google Scholar]
- 86.Amundsen T, Torheim G, Kvistad KA, et al. Perfusion abnormalities in pulmonary embolism studied with perfusion MRI and ventilation-perfusion scintigraphy: an intra-modality and inter-modality agreement study. J Magn Reson Imaging. 2002;15(4):386–94. doi: 10.1002/jmri.10092. [DOI] [PubMed] [Google Scholar]
- 87.Kluge A, Gerriets T, Lange U, Bachman G. MRI for short-term follow-up of acute pulmonary embolism. Assessment of thrombus appearance and pulmonary perfusion: a feasibility study. Eur Radiol. 2005;15(9):1969–77. doi: 10.1007/s00330-005-2760-7. [DOI] [PubMed] [Google Scholar]
- 88.Ley-Zaporozhan J, Ley S, Eberhardt R, et al. Assessment of the relationship between lung parenchymal destruction and impaired pulmonary perfusion on a lobar level in patients with emphysema. Eur J Radiol. 2007;63(1):76–83. doi: 10.1016/j.ejrad.2007.01.020. [DOI] [PubMed] [Google Scholar]
- 89.Eichinger M, Puderbach M, Fink C, et al. Contrast-enhanced 3D MRI of lung perfusion in children with cystic fibrosis – initial results. Eur Radiol. 2006;16(10):2147–52. doi: 10.1007/s00330-006-0257-7. [DOI] [PubMed] [Google Scholar]
- 90.Eichinger M, Optazaite DE, Kopp-Schneider A, et al. Morphologic and functional scoring of cystic fibrosis lung disease using MRI. Eur J Radiol. 2011 doi: 10.1016/j.ejrad.2011.02.045. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 91.Nikolaou K, Schoenberg SO, Attenberger U, et al. Pulmonary arterial hypertension: diagnosis with fast perfusion MR imaging and high-spatial-resolution MR angiography – preliminary experience. Radiology. 2005;236(2):694–703. doi: 10.1148/radiol.2361040502. [DOI] [PubMed] [Google Scholar]
- 92.Ley S, Mereles D, Risse F, et al. Quantitative 3D pulmonary MR-perfusion in patients with pulmonary arterial hypertension: correlation with invasive pressure measurements. Eur J Radiol. 2007;61(2):251–55. doi: 10.1016/j.ejrad.2006.08.028. [DOI] [PubMed] [Google Scholar]
- 93.Molinari F, Fink C, Risse F, et al. Assessment of differential pulmonary blood flow using perfusion magnetic resonance imaging: comparison with radionuclide perfusion scintigraphy. Invest Radiol. 2006;41(8):624–30. doi: 10.1097/01.rli.0000225399.65609.45. [DOI] [PubMed] [Google Scholar]
- 94.Kluge A, Gerriets T, Stolz E, et al. Pulmonary perfusion in acute pulmonary embolism: agreement of MRI and SPECT for lobar, segmental and subsegmental perfusion defects. Acta Radiol. 2006;47(9):933–40. doi: 10.1080/02841850600885377. [DOI] [PubMed] [Google Scholar]
- 95.Ley-Zaporozhan J, Molinari F, Risse F, et al. Repeatability and reproducibility of quantitative whole-lung perfusion magnetic resonance imaging. J Thorac Imaging. 2011;26(3):230–39. doi: 10.1097/RTI.0b013e3181e48c36. [DOI] [PubMed] [Google Scholar]
- 96.Puderbach M, Eichinger M, Haeselbarth J, et al. MRI for early Diagnosis of Lung Changes in Children with Cystic Fibrosis. Am J Resp Crit Care Med. 2008;177:224. [Google Scholar]
- 97.Eichinger M, Haeselbarth J, Niemann A, et al. Magnetic-resonance-imaging (MRI) for assessment of regional therapy response in Patients with Cystic Fibrosis (CF) Eur Respir J. 2009;53(Suppl):34. [Google Scholar]
- 98.Korosec FR, Frayne R, Grist TM, Mistretta CA. Time-resolved contrast-enhanced 3D MR angiography. Magn Reson Med. 1996;36(3):345–51. doi: 10.1002/mrm.1910360304. [DOI] [PubMed] [Google Scholar]
- 99.Fink C, Ley S, Kroeker R, et al. Time-resolved contrast-enhanced three-dimensional magnetic resonance angiography of the chest: combination of parallel imaging with view sharing (TREAT) Invest Radiol. 2005;40(1):40–48. [PubMed] [Google Scholar]
- 100.Lim RP, Shapiro M, Wang EY, et al. 3D time-resolved MR angiography (MRA) of the carotid arteries with time-resolved imaging with stochastic trajectories: comparison with 3D contrast-enhanced Bolus-Chase MRA and 3D time-of-flight MRA. AJNR Am J Neuroradiol. 2008;29(10):1847–54. doi: 10.3174/ajnr.A1252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Zou Z, Zhang HL, Roditi GH, et al. Nephrogenic systemic fibrosis review of 370 biopsy-confirmed cases. JACC Cardiovasc Imaging. 2011;4(11):1206–16. doi: 10.1016/j.jcmg.2011.08.013. [DOI] [PubMed] [Google Scholar]
- 102.Gauden AJ, Phal PM, Drummond KJ. MRI safety: nephrogenic systemic fibrosis and other risks. J Clin Neurosci. 2010;17(9):1097–104. doi: 10.1016/j.jocn.2010.01.016. [DOI] [PubMed] [Google Scholar]
- 103.Mai VM, Berr SS. MR perfusion imaging of pulmonary parenchyma using pulsed arterial spin labeling techniques: FAIRER and FAIR. J Magn Reson Imaging. 1999;9:483–87. doi: 10.1002/(sici)1522-2586(199903)9:3<483::aid-jmri18>3.0.co;2-#. [DOI] [PubMed] [Google Scholar]
- 104.Arai TJ, Prisk GK, Holverda S, et al. Magnetic resonance imaging quantification of pulmonary perfusion using calibrated arterial spin labeling. J Vis Exp. 2011;(51):2712. doi: 10.3791/2712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Martirosian P, Boss A, Schraml C, et al. Magnetic resonance perfusion imaging without contrast media. Eur J Nucl Med Mol Imaging. 2010;37(Suppl.1):52–64. doi: 10.1007/s00259-010-1456-7. [DOI] [PubMed] [Google Scholar]
- 106.Bolar DS, Levin DL, Hopkins SR, et al. Quantification of regional pulmonary blood flow using ASL-FAIRER. Magn Reson Med. 2006;55(6):1308–17. doi: 10.1002/mrm.20891. [DOI] [PubMed] [Google Scholar]
- 107.Gaaß T, Dinkel J, Bauman G, et al. Non-Contrast-Enhanced High Resolution MRI of the Pulmonary Blood Volume Using a Two Compartment Model and T1 Mapping. Proceedings of the 19th annual meeting of the ISMRM; Montreal, Canada. 2011. p. 4756. [Google Scholar]
- 108.Deimling M, Jellus V, Geiger B, et al. Proceedings of the Sixteenth Meeting of the International Society for Magnetic Resonance in Medicine. Berkeley, Calif: International Society for Magnetic Resonance in Medicine; 2008. Time resolved lung ventilation imaging by Fourier decomposition; p. 2639. [Google Scholar]
- 109.Bauman G, Puderbach M, Deimling M, et al. Non-contrast-enhanced perfusion and ventilation assessment of the human lung by means of fourier decomposition in proton MRI. Magn Reson Med. 2009;62(3):656–64. doi: 10.1002/mrm.22031. [DOI] [PubMed] [Google Scholar]
- 110.Chefd’hotel C, Hermosillo G, Faugeras O. Flows of Diffeomorphisms for Multimodal Image Registration; Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI’2002); Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers; p. 753.p. 56. [Google Scholar]
- 111.Zapke M, Topf HG, Zenker M, et al. Magnetic resonance lung function – a breakthrough for lung imaging and functional assessment? A phantom study and clinical trial. Respir Res. 2006;6(7):106. doi: 10.1186/1465-9921-7-106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Suga K, Ogasawara N, Okada M, et al. Lung perfusion impairments in pulmonary embolic and airway obstruction with noncontrast MR imaging. J Appl Physiol. 2002;92(6):2439–51. doi: 10.1152/japplphysiol.00900.2001. [DOI] [PubMed] [Google Scholar]
- 113.Bauman G, Lützen U, Ullrich M, et al. Pulmonary functional imaging: qualitative comparison of Fourier decomposition MR imaging with SPECT/CT in porcine lung. Radiology. 2011;260(2):551–59. doi: 10.1148/radiol.11102313. [DOI] [PubMed] [Google Scholar]
- 114.Bauman G, Eichinger M, Deimling M, et al. Non-Contrast-Enhanced lung perfusion MRI in comparison to Contrast-Enhanced MRI perfusion in young cystic fibrosis patients. Am J Respir Crit Care Med. 2010;181(1):A1828. [Google Scholar]