Sixian Hu1, Wanlin Peng1, Huayan Xu2, Xiaoyue Zhou3, Chunchao Xia1, and Zhenlin Li1
1Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China, Chengdu, China, 2Department of Radiology, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, China, Chengdu, China, 3MR Collaboration, Siemens Healthineers Ltd., Shanghai, China, Shanghai, China
Synopsis
Quantitative
evaluation of whether cardiac function affects the motion correction effect on
cardiovascular magnetic resonance T1 mapping was conducted. Pre- and post-contrast
T1 values, ECV values, SNR, and CNR were measured and compared between MOCO and
non-MOCO images in groups with either preserved left ventricular function or
impaired left ventricular function. Motion-corrected images showed good T1 and
ECV value agreement compared to images without correction. The group with
preserved left ventricular function showed greater improvement after motion
correction than the impaired left ventricular function group.
Introduction
Quantification of
myocardial T1 relaxation and extracellular volume (ECV) has potential value for
the diagnosis of various heart diseases1,2. Patients are often told
to hold their breath during the MR scan in order to stop the movement of the
chest which would likely cause image artifacts. However, it is difficult for
many patients, especially the elderly and those with left ventricular
dysfunction, to strictly comply with this request. This may lead to severe
image artifacts and unsuccessful MR scans3,4. The image motion
correction (MOCO) technique allows patients to breathe freely during the MR
scan and uses MOCO algorithms to reduce motion artifacts, allowing higher-quality
MR images5-11. The MOCO technique has been applied to several
sequences, such as phase-sensitive inversion recovery with motion correction
(PSIR-MOCO) for late gadolinium enhancement assessment and modified look-locker
inversion recovery (MOLLI) for T1-mapping imaging3,12. However, normal
breathing is still preferred under these circumstances. The performance of MOCO
for patients with left ventricular dysfunction who may have inconsistent and
less regular breathing patterns is still unclear. In this study, we explored
whether the implementation of MOCO in MOLLI sequencing would affect the clinical
assessment of cardiac function.Methods
We retrospectively
recruited 56 patients (38 males, 30 females, mean age 58.0±12.9 years) with
diabetes mellitus (DM), end-stage renal disease (ESRD), chronic total occlusion
of the coronary artery (CTO) or other diseases, as well as 14 asymptomatic
participants. All cardiovascular magnetic resonance scans were performed using
a 3T MR scanner (MAGNETOM Skyra, Siemens Healthcare, Erlangen, Germany) with an
18-channel body coil combined with a 32-channel phased-array spine coil (12 of
32 channels were used). The
consecutive standard short-axis cine images as well as T1-mapping examinations
with and without MOCO were acquired. All T1 maps were obtained using the MOLLI
sequence with 5(3)3 and 4(1)3(1)2 scan schemes for pre- and post-contrast T1-mapping
imaging, respectively. The commercially available software cvi42 (Circle Cardiovascular
Imaging Inc., Calgary, Alberta, Canada) was used by an experienced observer for
image analysis. The
endocardial and epicardial borders for the myocardium and blood pool were manually
delineated in short-axis cine and T1-mapping images to obtain the left
ventricular ejection fraction (left ventricular ejection fraction [EF]), T1 and
ECV values, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). To
explore the impact of cardiac function on MOCO, the participants were divided
into either a left ventricular dysfunction group (left ventricular EF ≤ 50%),
or a preserved left ventricular function group (left ventricular EF>50%).
MedCalc 18.9.1 (MedCalc Software, Ostend, Belgium) was used for the statistical
analyses. The agreement between MOCO and non-MOCO sequencing was assessed using
a concordance correlation coefficient (CCC). The paired-sample t-test or
Mann‐Whitney U test was used to compare the SNR and CNR. A two-tailed p-value
< 0.05 was considered to be statistically significant.Results
There were good to
excellent correlations between the MOCO and non-MOCO groups in native T1
values, post-contrast T1 values, and ECV values measurement (CCC = 0.66, CCC =
0.90 and CCC = 0.76, respectively) (Figure 1). 22.1%
(15/68) of subjects were identified as having left ventricular dysfunction
according to their left ventricular EF. An improved image quality was found
after motion correction (Figure 2). For the pre-contrast T1 mapping images, a
higher SNR (2.00 ±0.27 vs. 1.93±0.29) and CNR (-1.00 [-1.12 to -0.87] vs. -0.96
[-1.09 to -0.81]) were shown in the MOCO images than in the non-MOCO images
(all P<0.01) in the preserved left ventricular function group. In the left
ventricular dysfunction group, there were no significant differences in the SNR
and CNR between the MOCO and non-MOCO images. For the post-contrast T1 maps, MOCO
images showed a higher CNR than non-MOCO images both in subjects with (0.28
[0.20 to 0.52] vs. 0.26 [0.19 to 0.36]) and without left ventricular dysfunction
(0.31 [0.26 to 0.40] vs. 0.30 [0.26 to 0.38]) (all P<0.05) (Figure 3). Discussion
Dyspnea and
impaired tolerance to physical activity or exercise are the primary features of
heart failure which may lead to difficulty in correcting motion artifacts. In
total, image quality was improved by the MOCO technique, especially in those
patients who showed low cooperation during the exam. For patients with
preserved left ventricular function, higher SNR and CNR were shown in the MOCO
images than the non-MOCO ones, suggesting a better image quality of the MOCO
technique. As T1 mapping is a quantitative method, higher SNR and CNR will make
the quantitative value more stable and reliable. Therefore, it is highly
recommended to use this MOCO technique in the MOLLI sequence for obtaining
myocardial T1 values.Conclusions
Our study
demonstrated that the T1 values derived from MOCO technique consistent well
with the non-MOCO results. Besides, the MOCO technique showed a better image
quality and was more reliable in patients with preserved left ventricular
function.Acknowledgements
We thank Ms.
Yuming Li, Mr. Kai Zhang, Mr. Lei Li and Mr. Fei Zhao for their assistance to
the patient enrollment.
This work is
funded by the 1.3.5 project for disciplines of excellence, West China Hospital,
Sichuan University [grant number: ZYGD18019].
References
1. Messroghli
DR, Moon JC, Ferreira VM, et al. Clinical recommendations for cardiovascular
magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus
statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed
by the European Association for Cardiovascular Imaging (EACVI). Journal of
cardiovascular magnetic resonance 2017; 19(1):75.
2. Muscogiuri
G, Suranyi P, Schoepf UJ, et al. Cardiac Magnetic Resonance T1-Mapping of the
Myocardium: Technical Background and Clinical Relevance. Journal of Thoracic
Imaging 2018; 33(2):71-80.
3. Xue
H, Greiser A, Zuehlsdorff S, et al. Phase-sensitive inversion recovery for
myocardial T1 mapping with motion correction and parametric fitting. Magn Reson
Med 2013; 69(5):1408-1420.
4. Xue
H, Shah S, Greiser A, et al. Motion correction for myocardial T1 mapping using
image registration with synthetic image estimation. Magn Reson Med 2012;
67(6):1644-1655.
5. Menon
RG, Miller GW, Jeudy J, Rajagopalan S, Shin T. Free breathing three-dimensional
late gadolinium enhancement cardiovascular magnetic resonance using outer
volume suppressed projection navigators. Magn Reson Med 2017; 77(4):1533-1543.
6. Cross
R, Olivieri L, O'Brien K, Kellman P, Xue H, Hansen M. Improved workflow for
quantification of left ventricular volumes and mass using free-breathing motion
corrected cine imaging. Journal of cardiovascular magnetic resonance 2016; 18:10.
7. Roujol
S, Basha TA, Weingartner S, et al. Impact of motion correction on
reproducibility and spatial variability of quantitative myocardial T2 mapping.
Journal of cardiovascular magnetic resonance
2015; 17:46.
8. Kellman
P, Xue H, Spottiswoode BS, et al. Free-breathing T2* mapping using respiratory
motion corrected averaging. Journal of cardiovascular magnetic resonance 2015; 17(1):3.
9. Jin
N, da Silveira JS, Jolly MP, et al. Free-breathing myocardial T2* mapping using
GRE-EPI and automatic non-rigid motion correction. Journal of cardiovascular
magnetic resonance 2015; 17:113.
10. Piehler
KM, Wong TC, Puntil KS, et al. Free-breathing, motion-corrected late gadolinium
enhancement is robust and extends risk stratification to vulnerable patients.
Circulation: Cardiovascular Imaging 2013;
6(3):423-432.
11. Zhu
Y, Kang J, Duan C, et al. Integrated motion correction and dictionary learning
for free-breathing myocardial T1 mapping. Magn Reson Med 2018.
12. Kellman
P, Arai AE, McVeigh ER, Aletras AH. Phase-sensitive inversion recovery for
detecting myocardial infarction using gadolinium-delayed hyperenhancement. Magn
Reson Med 2002; 47(2):372-383.