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Extending Cardiac Functional Assessment with Respiratory-Resolved 3D Cine MRI.


ABSTRACT: This study aimed to develop a cardiorespiratory-resolved 3D magnetic resonance imaging (5D MRI: x-y-z-cardiac-respiratory) approach based on 3D motion tracking for investigating the influence of respiration on cardiac ventricular function. A highly-accelerated 2.5-minute sparse MR protocol was developed for a continuous acquisition of cardiac images through multiple cardiac and respiratory cycles. The heart displacement along respiration was extracted using a 3D image deformation algorithm, and this information was used to cluster the acquired data into multiple respiratory phases. The proposed approach was tested in 15 healthy volunteers (7 females). Cardiac function parameters, including the end-systolic volume (ESV), end-diastolic volume (EDV), stroke volume (SV), and ejection fraction (EF), were measured for the left and right ventricle in both end-expiration and end-inspiration. Although with the proposed 5D cardiac MRI, there were no significant differences (p?>?0.05, t-test) between end-expiration and end-inspiration measurements of the cardiac function in volunteers, incremental respiratory motion parameters that were derived from 3D motion tracking, such as the depth, expiration and inspiration distribution, correlated (p?

SUBMITTER: Liu J 

PROVIDER: S-EPMC6689015 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Extending Cardiac Functional Assessment with Respiratory-Resolved 3D Cine MRI.

Liu Jing J   Wang Yan Y   Wen Zhaoying Z   Feng Li L   Lima Ana Paula Santos APS   Mahadevan Vaikom S VS   Bolger Ann A   Saloner David D   Ordovas Karen K  

Scientific reports 20190809 1


This study aimed to develop a cardiorespiratory-resolved 3D magnetic resonance imaging (5D MRI: x-y-z-cardiac-respiratory) approach based on 3D motion tracking for investigating the influence of respiration on cardiac ventricular function. A highly-accelerated 2.5-minute sparse MR protocol was developed for a continuous acquisition of cardiac images through multiple cardiac and respiratory cycles. The heart displacement along respiration was extracted using a 3D image deformation algorithm, and  ...[more]

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