Xiaoyong Zhang1,2, Guoxi Xie2, Zijun Wei2, Yanchun Zhu2, Shi Su2, Caiyun Shi2, Fei Yan2, Bensheng Qiu1, Xin Liu2, Hairong Zheng2, and Zhaoyang Fan3
1University of Science and Technology of China, Hefei, China, People's Republic of, 2Shenzhen Institutes of Advanced Technology, Shenzhen, China, People's Republic of, 3Cedars-Sinai Medical Center, Los Angeles, CA, United States
Synopsis
A 3D self-gating technique was developed for
assessing mycardial infarction (MI) in mouse model. The preliminary in vivo
study has demonstrated that the technique can correctly detect the MI, which
may outperform the conventional MR techniques with ECG-triggering and
respiratory gating.Introduction
Mouse
models with mycardial infarction (MI) have been intensively used to investigate
the cardiac remodeling and functional change [1,2]. MRI with ECG triggering
and respiratory gating (or breath-holding) is commonly used to assess MI due to
its noninvasive nature. However, the manipulations of external ECG triggering and respiratory gating are
cumbersome due to the small size of mouse. To address this issue, a 3D
self-gating (SG) MR technique with stack-of-stars
sampling trajectories was proposed for retrospectively cardiac and respiratory-gated
MI imaging in mouse models [3].
Method
MR
data was acquired by a T1-weighted GRE sequence with stack-of-stars sampling trajectories
and a partition-first golden-angle reordering (Fig 1.a). The centers of k-space
lines acquired at the same angle from individual partitions were aggregated and
used as an SG time point. The periodic respiratory and cardiac motions were
then detected through an iterative filtering process on the SG time series according
to the cardiac rate of 300~500 per minute and respiration rate of 70~110 per
minute. After resorting the imaging data into appropriate cardiac and
respiratory phases, motion-artifact-free were finally reconstructed.
Experiments
The IRB-approved SG technique was preliminarily
validated on 5 mice with MI induction and all MR scans were performed on a 3T
scanner (Siemens Tim Trio, Germany) with a customized 4-channal mouse coil. Typical
imaging parameters for the ungated GRE sequence included: flip angle=18°, TR=4.2ms, TE=2.4ms, spatial resolution=0.6×0.6×1.5mm
3,
bandwidth = 620 Hz/Pixel, partition number = 12, and a total number of 3200
projections were continuously collected, corresponding to a fixed scan time of 3
min. An amount of 0.5ml gadolinium contrast agent with concentration of 0.5 mmol/ml
(Consun Pharmaceutical Group Limited, GuangZhou, China) was injected to enhance
the MI. The mice were sacrificed immediately after MRI for histological analysis
and comparison to the MR results.
Results and discussion
All MR scans were successfully
conducted. The cardiac motion detected by the SG technique matched nicely to the ECG signals recorded
by a small animal ventilator (Chengdu
Taimeng Software Co.LTD, Chengdu, China) (Fig.1.b&c).
And the MI regions detected by the SG
technique were also matched well to the histopathology analysis results
(Fig.2). The experiment results
demonstrated that the proposed technique was suitable for routine
use in cardiac MRI in mice
with myocardial infarcts and obviated the need for ECG-triggering and respiratory gating. Future applications of this noninvasive
imaging method include basic science studies on biochemical processes in the
injured heart, assessment of novel pharmaceutical
agents can be performed longitudinally
to monitor remodeling and drug efficacy in the long term.
Conclusion
A 3D SG technique was developed for assessing
MI in mouse model. The preliminary in vivo study has demonstrated that the
technique can correctly detect the MI, which may outperform the conventional MR
techniques with ECG-triggering and respiratory gating.
Acknowledgements
NSFC No.81120108012,
No.81328013, No.81371537, No.91432301, No.81571669, No.61201442 and Shenzhen Funding No.
JCYJ20140417113430603, No GJHZ20150316143320494.References
[1]Lutgens E et al. Cardiovascular research, 1999,41(3): 586-593.
[2] Hofmann U, et al. Circulation, 2012, 125(13): 1652-1663.
[3] Liu J, et al. MRM ,2010,63(5):1230-1237.