机构:[1]Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.[2]Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.[3]Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.[4]Department of Radiology, Xuanwu Hospital, Beijing, China.放射科首都医科大学宣武医院[5]Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Quantitative cardiovascular magnetic resonance (CMR) imaging can be used to characterize fibrosis, oedema, ischaemia, inflammation and other disease conditions. However, the need to reduce artefacts arising from body motion through a combination of electrocardiography (ECG) control, respiration control and contrast-weighting selection makes CMR exams lengthy. Here, we show that physiological motions and other dynamic processes can be conceptualized as multiple time dimensions that can be resolved via low-rank tensor imaging, allowing for motion-resolved quantitative imaging with up to four time dimensions. This continuous-acquisition approach, which we name CMR multitasking, captures-rather than avoids-motion, relaxation and other dynamics to efficiently perform quantitative CMR without the use of ECG triggering or breath holds. We demonstrate that CMR multitasking allows for T-1 mapping, T-1/T-2 mapping and time-resolved T-1 mapping of myocardial perfusion without ECG information and/or under free-breathing conditions. CMR multitasking may provide a foundation for the development of setup-free CMR imaging for the quantitative evaluation of cardiovascular health.
基金:
This work was supported by NIH 1R01HL124649 and NIH T32HL116273.
第一作者机构:[1]Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.[2]Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
通讯作者:
通讯机构:[1]Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.[3]Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
推荐引用方式(GB/T 7714):
Anthony G. Christodoulou,Jaime L. Shaw,Christopher Nguyen,et al.Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging[J].NATURE BIOMEDICAL ENGINEERING.2018,2(4):215-226.doi:10.1038/s41551-018-0217-y.
APA:
Anthony G. Christodoulou,Jaime L. Shaw,Christopher Nguyen,Qi Yang,Yibin Xie...&Debiao Li.(2018).Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging.NATURE BIOMEDICAL ENGINEERING,2,(4)
MLA:
Anthony G. Christodoulou,et al."Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging".NATURE BIOMEDICAL ENGINEERING 2..4(2018):215-226