Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2015 Oct 5;10(10):e0139859. doi: 10.1371/journal.pone.0139859

Improvement in B1 + Homogeneity and Average Flip Angle Using Dual-Source Parallel RF Excitation for Cardiac MRI in Swine Hearts

Michael Schär 1,2,*, Haiyan Ding 3,4, Daniel A Herzka 3
Editor: Xiaobing Fan5
PMCID: PMC4593605  PMID: 26436658

Abstract

Cardiac MRI may benefit from increased polarization at high magnetic field strength of 3 Tesla but is challenged by increased field inhomogeneity. Initial human studies have shown that the radiofrequency (RF) excitation field (B1 +) used for signal excitation in the heart is both inhomogeneous and significantly lower than desired, potentially leading to image artifacts and biased quantitative measures. Recently, multi-channel transmit systems have been introduced allowing localized patient specific RF shimming based on acquired calibration B1 + maps. Some prior human studies have shown lower than desired mean flip angles in the hearts of large patients even after RF shimming. Here, 100 cardiac B1 + map pairs before and after RF shimming were acquired in 55 swine. The mean flip angle and the coefficient of variation (CV) of the flip angle in the heart were determined before and after RF shimming. Mean flip angle, CV, and RF shim values (power ratio and phase difference between the two transmit channels) were tested for correlation with cross sectional body area and the Right-Left/Anterior-Posterior ratio. RF shimming significantly increased the mean flip angle in swine heart from 74.4±6.7% (mean ± standard deviation) to 94.7±4.8% of the desired flip angle and significantly reduced CV from 0.11±0.03 to 0.07±0.02 (p<<1e-10 for both). These results compare well with several previous human studies, except that the mean flip angle in the human heart only improved to 89% with RF shimming, possibly because the RF shimming routine does not consider safety constraints in very large patients. Additionally, mean flip angle decreased and CV increased with larger cross sectional body area, however, the RF shimming parameters did not correlate with cross sectional body area. RF shim power ratio correlated weakly with Right-Left/Anterior-Posterior ratio but phase difference did not, further substantiating the need for subject specific cardiac RF shimming.

Introduction

MRI scanners at a static magnetic field strength of 3 Tesla (T) became available for cardiac MRI in 2001. Compared to 1.5 T, the available bulk magnetization at 3 T increases linearly with the field strength offering higher signal-to-noise ratio (SNR) that can be traded for higher spatial resolution and / or faster imaging, both highly desired prospects in cardiovascular magnetic resonance (CMR). However, clinical CMR is still mainly performed at 1.5 T. Challenges with CMR at 3 T are usually listed as 1) increased susceptibility-induced main magnetic field (B0) inhomogeneities, 2) increased radiofrequency (RF) power deposition for a given flip angle, and 3) increased inhomogeneities of the RF excitation field (B1 +) used for signal excitation [13]. In this study we will focus on the B1 + field.

Conventional clinical MRI scanners up to a magnetic field strength of 3 T use an integrated birdcage quadrature coil to generate the B1 + field. Both numerical simulations [4] and measurements [5] have shown that the B1 + field produced by a quadrature coil in the heart is more inhomogeneous at 3 T compared to 1.5 T. Using the saturated double-angle method (SDAM) [6] to acquire cardiac B1 + maps, Sung et al. observed a flip angle variation ranging from 31% to 66% of the applied flip angle over the entire left ventricular volume in humans [7]. In terms of actually applied flip angles, they reported a range of values from 34° to 63° across the left ventricle for a nominal flip angle of 60°. This not only demonstrates that the B1 + field over the left ventricle is inhomogeneous but additionally, and maybe more importantly, that the flip angle (RF power setting) is on average about 20% lower than the one requested. This finding has been reproduced on another vendor’s 3 T scanner where the average B1 + over both ventricles was 27% lower than desired [8]. Since these are average values, the flip angle in the heart will be close to what is desired in some patients but even lower in others. Low flip angles will lead to local signal reduction, failure of magnetization preparation pulses, and eventually to artifacts and biased quantitative measures. Setting the RF power based on the acquired B1 + maps enabled correct average flip angles within 1% of the desired angle while the variation over the heart remained the same [8]. Recently, it has been shown that multi-channel transmit systems can be used to reduce the B1 + variation over the heart by the use of RF shimming [913]. In a total of 64 human subjects [911], the coefficient of variation (CV, standard deviation divided by mean) of B1 + over the heart in a single imaging slice improved by 43% from 0.12 to 0.07 (Table 1).

Table 1. Average flip angle and CV of the flip angle in the heart before and after RF shimming as reported in the literature in humans and results from this study in swine.

n, species B1 + map orientation pre RF-shim flip angle (% of desired) post RF-shim flip angle (% of desired) CV pre RF-shim CV post RF-shim
Mueller et al. [9] 13, humans transverse 72.8±4.0 91.9±3.3 0.12±0.08 0.07±0.03
Krishnamurti et al. [10] 37, humans transverse 81.2±13.3 88.5±15.2 0.13±0.03 0.07±0.02
Jia et al. [11] 14, humans short axis view 76.7±9.7 85.4±9.5 0.10±0.05 0.07±0.02
Jogiya et al. [12] 30, humans transverse 74.2±8.3 91.1±1.9 n.a. n.a.
Weighted average excluding this work 94 for FA; 64 for CV 77.1 89.3 0.12 0.07
This work 100, swine transverse 74.4±6.7 94.7±4.8 0.11±0.03 0.07±0.02

However, in 94 human subjects [912] the error in the average flip angle over the heart was only reduced by 53% from 23% under-tipping to 11% under-tipping (Table 1). While the underlying physics constrains how much the B1 + variation can be improved, there is no reason for the average flip angle over the heart not to be at the desired value as has been shown in [8].

In this work, RF shimming of the heart using a two-channel multi-transmit system is evaluated in swine. B1 + maps in the heart are acquired prior to and post RF shimming to quantify improvement in B1 + variation and average flip angle over the heart. A special focus is placed on the average flip angle / RF power setting.

Materials and Methods

Data acquisition

All animal studies were approved by the Institutional Animal Care and Use Committee (protocol SW14M263). The performance of cardiac RF shimming was studied in swine being imaged as part of other studies. Those studies included high-resolution quantitative imaging such as T2-mapping [14] after acute and chronic myocardial infarction or radio-frequency ablation and high-resolution delayed enhancement imaging. At the end of those studies, the animals were euthanized by barbiturate overdose (Pentobarbital 100mg/kg IV) followed by IV potassium chloride. During imaging, animals were anesthetized with isoflurane 1–2.5%, along with 100% oxygen, and mechanically ventilated. Studies were performed on a 3 T MR scanner (Achieva R3.2, Philips Healthcare, Best, Netherlands) equipped with an integrated two-channel multi-transmit body coil. Image processing and statistical analysis were implemented in MATLAB (The MathWorks, Natick, Massachusetts).

Single-slice B1 + maps were acquired pre and post RF shimming from the hearts of 64 consecutive swine. Data from 9 were not considered due to either missing pre RF shimming map or log files. Some animals were imaged on multiple occasions a few hours to 180 days apart leading to n = 100 B1 + map pairs. Two animals were imaged 5 times, one 4 times, six 3 times, 22 twice, and 24 once. B1 + maps were acquired with the SDAM [6] method using the following imaging parameters: ECG triggering, repetition time one heart beat, echo time = 3.3 ms, saturation delay 500 ms, flip angles 60° and 120°, spoiled gradient echo with EPI factor 11, spectrally selective adiabatic inversion recovery fat suppression with an inversion delay of 180 ms, field of view 320 x 320 mm2, slice thickness 10 mm, acquired voxel size 5 x 11 mm2, reconstructed voxel size 4 x 4 mm2, integrated body coil for signal reception, breath-hold duration 7 s. The imaging slice was acquired in transverse orientation through the center of the heart. The two transmit channels were set to quadrature mode (same amplitude and 90° phase shift) for the pre B1 + map. A calibration B1 + map was acquired after the pre B1 + map. For the calibration B1 + map two maps were acquired in a 12 s breath-hold, one for each transmit channel. Because excitation was performed with only one transmit channel at a time for the calibration B1 + map, the duration of the excitation pulse was doubled. For both pre and calibration B1 + map acquisitions, the RF power was determined using the vendor’s standard non-localized calibration. For RF shimming, the system-provided routine was used to calculate both the power ratio and phase difference between the two transmit channels, and the RF power required to achieve the desired flip angle. The RF shim routine minimized the flip angle distribution based on the calibration B1 + map within a user-selected rectangle. In this study this rectangle was placed over the heart (green box in Fig 1). The calculated RF power, power ratio, and phase difference were then applied for the acquisition of the post B1 + map. The applied RF shim values, power ratio and phase difference, were recorded and any messages concerning RF power limitations were explicitly noted.

Fig 1. Representative B1 + maps and ROI placement.

Fig 1

Axial magnitude images (1st column) through the center of the heart are used to select the heart (red) and cross sectional body area (blue) elliptical ROIs. The scanner routine was used to calculate RF-shim values localized to a manually drawn rectangle (green). Corresponding B1 + maps acquired in quadrature mode pre-RF shimming and RF-shimmed are shown in the 2nd and 3rd columns, respectively. Data from two different animals A and B are shown in the two rows. Lengths of RL and AP were defined as the dash blue lines for RL/AP ratio calculation.

Data analysis

Two elliptical regions of interest (ROI) were drawn on magnitude images of the B1 + maps to select the heart and the cross sectional body area (Fig 1). The two main axes of the body ROI were used to determine the Right-Left (RL)/Anterior-Posterior (AP) ratio. The heart ROI was copied to the pre and post B1 + maps to determine 1) the mean achieved flip angle within the ROI, as a percentage of the intended flip angle, and 2) the CV of the flip angle defined as the ratio of the standard deviation to the mean within the ROI.

The pre and post RF shimming mean achieved flip angle, pre and post CV of the flip angle, and the two RF shim values, power ratio and phase difference, were tested for linear correlation with both RL/AP ratio (as suggested in [10]) and cross sectional body area using the MATLAB function fitlm. An α value of 0.05 was used for each family of statistical tests (two families each with 6 tests). Hence, a modified Bonferroni correction was applied to individual test p-values to determine statistical significance (S) or lack thereof (NS) [15]. Mean flip angle and CV were also compared before and after RF shimming using a paired Student’s t-Test using Microsoft Excel. A p-value smaller than 0.05 was considered significant for those tests.

Results

RF shimming and the acquisition of pre and post B1 + maps were successful in all n = 100 attempts. Measured mean and CV flip angle pre and post RF shimming, RF shim values, cross sectional body area, and AP/RL ratio are provided as supplementary information (S1 Dataset). The mean flip angle in the heart ROI with RF transmission using the standard quadrature mode was 74.4±6.7% (mean ± standard deviation) of the desired flip angle. RF shimming significantly improved the mean flip angle in the heart to 94.7±4.8% of the desired flip angle (p<<1e-10, Fig 2a). This corresponds to a 79% reduction of the error in the average flip angle in swine compared to the 53% reduction reported previously in humans [912]. The CV of the flip angle in the heart ROI significantly improved with RF shimming from 0.11±0.03 to 0.07±0.02 (p<<1e-10, Fig 2b).

Fig 2. Mean and CV of the flip angle with and without RF shimming.

Fig 2

Box plots (a) of the mean flip angle and (b) the CV of the flip angle in the heart with either conventional quadrature mode or with subject specific RF shimming.

In Fig 3a the mean flip angle in the heart is plotted against the cross sectional body area. RF shimming increased the mean flip angle in all cases. The mean flip angle in the heart linearly correlated strongly with the cross sectional body area both pre and post RF shimming with R2 = 0.66 (p<<1e-10, S) and R2 = 0.49 (p<<1e-10, S), respectively. Fig 3b shows CV in the heart plotted vs. body area. CV correlated with the cross sectional body area moderately pre and weakly post RF shimming with R2 = 0.25 (p = 1e-6, S) and R2 = 0.06 (p = 0.015, S), respectively. Neither mean flip angle nor CV correlated with AP/RL ratio (p>0.5, NS for all).

Fig 3. Mean and CV of the flip angle vs. cross sectional body area.

Fig 3

Linear correlation (a) of the mean flip angle and (b) the CV of the flip angle in the heart with cross sectional body area. The mean flip angles with RF shimming (red dots) are improved compared to conventional quadrature mode (blue diamonds) in all cases.

The RF shim values power ratio and phase difference did not correlate with cross sectional body area (Fig 4a, R2 = 0.01, p = 0.2, NS, and R2 = 0.01, p = 0.3, NS, respectively). The phase difference did not correlate with AP/RL ratio (R2 = 0.04, p = 0.06, NS); however, there was a weak correlation between power ratio and AP/RL ratio (Fig 4b, R2 = 0.05, p<1e-5, S). This further demonstrates that optimal RF-shim settings need to be determined based on a calibration scan per subject and cannot be deduced on more simple measures such as cross sectional body size or AP/RL ratio [10].

Fig 4. RF shim values vs. cross sectional body area and RL/AP ratio.

Fig 4

RF shim values power ratio and phase difference vs. (a) cross sectional body area and (b) RL/AP ratio. They do not correlate with cross sectional body area (R2 = 0.01, p = 0.2 and R2 = 0.01, p = 0.3, respectively), and phase difference does not correlate with AP/RL ratio (R2 = 0.04, p = 0.06), but power ratio weakly correlates with AP/RL ratio (R2 = 0.05, p<1e-5).

The RF power was limited in two of the 100 cases. In these two cases the power was reduced to stay within safety constraints leading to a reduced applied flip angle. In one case (cross sectional body area = 0.042 m2) the RF power was reduced to keep the measured B1 + field in the integrated pickup coil of the transmit coil below the safety threshold. In the second case (cross sectional body area = 0.058 m2) the RF power was limited by the maximum peak power.

Discussion

The achievable accuracy and quantitative nature of CMR have led to its broad application in research involving swine. For example, CMR in swine has been critical in basic research of atherosclerosis [16], myocardial infarction [14, 17], for safety testing of devices [18], interventions [19, 20], and contrast agents [21]. Studies such as this one that analyze nonlinearities associated with higher field imaging that can lead to errors in quantitation are of interest. This study represents the first investigation of the RF flip angle distribution in the hearts of swine at 3 T and utilizes a large number of animals to improve measurement reliability.

The results obtained in this study demonstrate that, in a manner similar to human studies, the average flip angle in the heart of swine at 3 T when using the standard quadrature mode was only 74% of the desired flip angle compared to 77% in humans (Table 1). Likewise, the CV of the flip angle in swine heart was 0.11 compared to 0.12 in humans when using quadrature mode. Applying subject specific, localized RF shimming with a two-channel multi-transmit whole body coil significantly reduced CV to 0.07, the same as in previous human studies. Determining the RF power based on the calibration B1 + maps in combination with RF shimming significantly increased the average flip angle in swine heart from 74% to 95% of the desired flip angle, whereas previous human studies only achieved 89%. Examining Fig 3 in [10] shows that RF shimming in a human patient population increased the average flip angle in the heart in most patients with low body mass index and low body surface area, whereas it decreased for most of the 10 patients with highest body mass index and body surface area. In this study, the average flip angle in the heart increased after RF shimming in all 100 cases, and the RF power was limited due to safety considerations in two of them. One of the two cases was one of the largest animals in the study. Based on this we hypothesize that 1) the average flip angle with RF shimming in previous human studies was <90% of the desired flip angle because the RF power was limited due to safety constraints in large patients, and 2) this could potentially be corrected by modifying the RF shim calculator to consider additional safety constraints instead of only minimizing B1 + inhomogeneity.

In adult humans, Krishnamurthy et al. found no dependency of either the average flip angle or the CV on the body type of the patients by correlating average flip angle and CV pre and post RF shimming with body mass index, body surface area, and AP/RL ratio [10]. This work confirmed the lack of correlation with AP/RL ratio. However, it is shown that in swine, both average flip angle and CV significantly correlate with cross sectional body area, a measure that has not been tested in humans yet (Fig 3). The correlation is reduced after RF shimming, but still significant. This is of interest because measures such as body type or size could be determined easier and faster compared to the acquisition of a calibration B1 + map. Despite the correlation of average flip angle and CV, no correlation of the RF shim values (amplitude ratio or phase difference) with cross sectional body area was found (Fig 4a). However, there was a weak correlation between RF shim amplitude ratio and AP/RL ratio (Fig 4b), which was not observed in humans [10]. Despite this weak correlation for the amplitude ratio, the large range in the determined phase difference still indicates the need for subject specific determination of RF shim values, i.e. the acquisition of a calibration B1 + map in each subject.

In this work, and all the referenced human studies in Table 1, a two-channel multi-transmit system has been used. Using more transmit channels, B1 + inhomogeneity may be further reduced or B1 + homogeneity could be traded off to reduce the required RF power as has been shown in other body parts [22].

This is not a human study though the results obtained here do extend to human subjects, as the proportions of the large animals in this work are similar to those of humans. Nevertheless, further studies in humans will be required to demonstrate that patient-specific RF shimming should be used as a standard at 3 T, and even higher field strengths.

Conclusions

In swine, the average applied flip angle and the CV of the flip angle in the heart are significantly improved with RF shimming compared to standard quadrature mode. Both parameters correlate with cross sectional body area both before and after RF shimming, indicating that the RF shim routine could potentially be further improved for large subjects.

Supporting Information

S1 Dataset. ROI data from all B1+ maps.

(XLSX)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This work was supported by the American Heart Association (AHA-11SDG5280025), NIH R01 HL094610, and Prof. Herzka's start-up funds. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. MS was an employee of Philips Healthcare until May 2014. Philips Healthcare provided support in the form of salary for author MS, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Lee VS, Hecht EM, Taouli B, Chen Q, Prince K, Oesingmann N. Body and Cardiovascular MR Imaging at 3.0 T 1 . Radiology 2007, 244:692–705. [DOI] [PubMed] [Google Scholar]
  • 2. Gharib AM, Elagha A, Pettigrew RI. Cardiac Magnetic Resonance at High Field: Promises and Problems. Curr Probl Diagn Radiol 2008, 37:49–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Oshinski JN, Delfino JG, Sharma P, Gharib A, Pettigrew RI. Cardiovascular magnetic resonance at 3.0T: Current state of the art. J Cardiovasc Magn Reson 2010, 12:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Singerman RW, Denison TJ, Wen H, Balaban RS. Simulation of B1 field distribution and intrinsic signal-to-noise in cardiac MRI as a function of static magnetic field. J Magn Reson 1997, 125:72–83. [DOI] [PubMed] [Google Scholar]
  • 5. Greenman RL, Shirosky JE, Mulkern RV, Rofsky NM. Double inversion black-blood fast spin-echo imaging of the human heart: A comparison between 1.5T and 3.0T. J Magn Reson Imaging 2003, 17:648–655. [DOI] [PubMed] [Google Scholar]
  • 6. Cunningham CH, Pauly JM, Nayak KS. Saturated double-angle method for rapid B1+ mapping. Magn Reson Med 2006, 55:1326–1333. [DOI] [PubMed] [Google Scholar]
  • 7. Sung K, Nayak KS. Measurement and characterization of RF nonuniformity over the heart at 3T using body coil transmission. J Magn Reson Imaging 2008, 27:643–648. [DOI] [PubMed] [Google Scholar]
  • 8. Schär M, Vonken E-J, Stuber M. Simultaneous B 0- and B 1+-Map acquisition for fast localized shim, frequency, and RF power determination in the heart at 3 T. Magn Reson Med 2010, 63:419–426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Mueller A, Kouwenhoven M, Naehle CP, Gieseke J, Strach K, Willinek WA, et al. Dual-Source Radiofrequency Transmission with Patient-Adaptive Local Radiofrequency Shimming for 3.0-T Cardiac MR Imaging: Initial Experience. Radiology 2012, 263:77–85. [DOI] [PubMed] [Google Scholar]
  • 10. Krishnamurthy R, Pednekar A, Kouwenhoven M, Cheong B, Muthupillai R. Evaluation of a Subject specific dual-transmit approach for improving B1 field homogeneity in cardiovascular magnetic resonance at 3T. J Cardiovasc Magn Reson 2013, 15:68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Jia H, Wang C, Wang G, Qu L, Chen W, Chan Q, et al. Impact of 3.0 T Cardiac MR Imaging Using Dual-Source Parallel Radiofrequency Transmission with Patient-Adaptive B1 Shimming. PLoS ONE 2013, 8:e66946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Jogiya R, Schuster A, Zaman A, Motwani M, Kouwenhoven M, Nagel E, et al. Three-dimensional balanced steady state free precession myocardial perfusion cardiovascular magnetic resonance at 3T using dual-source parallel RF transmission: initial experience. J Cardiovasc Magn Reson 2014, 16:90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Rasper M, Gramer BM, Settles M, Laugwitz K-L, Ibrahim T, Rummeny EJ, et al. Dual-source RF transmission in cardiac SSFP imaging at 3 T: systematic spatial evaluation of image quality improvement compared to conventional RF transmission. Clin Imaging 2014, 39:231–6. [DOI] [PubMed] [Google Scholar]
  • 14. Ding H, Fernandez-de-Manuel L, Schär M, Schuleri KH, Halperin H, He L, et al. Three-dimensional whole-heart T2 mapping at 3T. Magn Reson Med 2014, doi: 10.1002/mrm.25458 [DOI] [PubMed] [Google Scholar]
  • 15. Holm S. A Simple Sequentially Rejective Multiple Test Procedure. Scand J Stat 1979, 6:65–70. [Google Scholar]
  • 16. Millon A, Canet-Soulas E, Boussel L, Fayad Z, Douek P. Animal models of atherosclerosis and magnetic resonance imaging for monitoring plaque progression. Vascular 2014, 22:221–237. [DOI] [PubMed] [Google Scholar]
  • 17. Soleimanifard S, Abd-Elmoniem KZ, Sasano T, Agarwal HK, Abraham MR, Abraham TP, et al. Three-dimensional regional strain analysis in porcine myocardial infarction: a 3T magnetic resonance tagging study. J Cardiovasc Magn Reson 2012, 14:85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Luechinger R, Zeijlemaker VA, Pedersen EM, Mortensen P, Falk E, Duru F, et al. In vivo heating of pacemaker leads during magnetic resonance imaging. Eur Heart J 2005, 26:376–383. [DOI] [PubMed] [Google Scholar]
  • 19. Vergara GR, Vijayakumar S, Kholmovski EG, Blauer JJE, Guttman MA, Gloschat C, et al. Real-time magnetic resonance imaging-guided radiofrequency atrial ablation and visualization of lesion formation at 3 Tesla. Heart Rhythm 2011, 8:295–303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Kahlert P, Parohl N, Albert J, Schäfer L, Reinhardt R, Kaiser GM, et al. Towards real-time cardiovascular magnetic resonance guided transarterial CoreValve implantation: in vivo evaluation in swine. J Cardiovasc Magn Reson 2012, 14:21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Yang Y, de Gervai PD, Sun J, Gruwel ML, Kupriyanov V. Dynamic manganese-enhanced magnetic resonance imaging can detect chronic cryoinjury-induced infarction in pig hearts in vivo. Contrast Media Mol Imaging 2011, 6:426–436. [DOI] [PubMed] [Google Scholar]
  • 22. Childs AS, Malik SJ, O’Regan DP, Hajnal JV. Impact of number of channels on RF shimming at 3T. Magn Reson Mater Phys Biol Med 2013, 26:401–410. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Dataset. ROI data from all B1+ maps.

(XLSX)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES