Temporospatial characterization of ventricular wall motion with real-time cardiac magnetic resonance imaging in health and disease

Author:

Li Yu Y.,Rashid Shams,Craft Jason,Cheng Yang J.,Schapiro William,Gliganic Kathleen,Yamashita Ann-Marie,Grgas Marie,Haag Elizabeth,Cao J. Jane

Abstract

AbstractCardiac magnetic resonance imaging (MRI) has been largely dependent on retrospective cine for data acquisition. Real-time imaging, although inferior in image quality to retrospective cine, is more informative about motion dynamics. We herein developed a real-time cardiac MRI approach to temporospatial characterization of left ventricle (LV) and right ventricle (RV) wall motion. This approach provided two temporospatial indices, temporal periodicity and spatial coherence, for quantitative assessment of ventricular function. In a cardiac MRI study, we prospectively investigated temporospatial characterization in reference to standard volumetric measurements with retrospective cine. The temporospatial indices were found to be effective for evaluating the difference of ventricular performance between the healthy volunteers and the heart failure (HF) patients (LV temporal periodicity 0.24 ± 0.037 vs. 0.14 ± 0.021; RV temporal periodicity 0.18 ± 0.030 vs. 0.10 ± 0.014; LV spatial coherence 0.52 ± 0.039 vs. 0.38 ± 0.040; RV spatial coherence 0.50 ± 0.036 vs. 0.35 ± 0.035; all in arbitrary unit). The HF patients and healthy volunteers were well differentiated in the scatter plots of spatial coherence and temporal periodicity while they were mixed in those of end-systolic volume (ESV) and ejection fraction (EF) from volumetric measurements. This study demonstrated the potential of real-time cardiac MRI for intricate analysis of ventricular function beyond retrospective cine.

Funder

National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

2. High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI;2023-02-15

3. The Role of Cardiac Computed Tomography in Heart Failure;Current Heart Failure Reports;2022-05-19

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