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Abstract #4321

Single-Beat Real-Time Assessment of Cardiac Function Enabled by the SPARTA-3D Scheme

Yichen Hu1,2, Junpu Hu3, Chenyang Zhao4, Zheng Zhong5, Hongyu Li5, Qi Liu5, Yongquan Ye5, Jian Xu5, Peng Hu6, and Qiuyun Fan1,2
1Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China, 2State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, China, 3United Imaging, Shanghai, China, 4Laboratory of Functional MRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 5United Imaging, Houston, TX, United States, 6School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

Synopsis

Keywords: Arrhythmia, Cardiovascular, real-time imaging, cardiac assessment, 3D cardiac cine, ejection fraction

Motivation: Cardiac MR cine, even in its 2D form, has traditionally relied on data acquired over multiple heartbeats, which limits its ability to assess cardiac function on a beat-by-beat basis in clinical practice.

Goal(s): To enable reliable 3D cardiac functional assessment of every individual heartbeat in real-time.

Approach: We enhanced highly accelerated spiral-in/out-based SPARTA-3D technique to improve signal sensitivity for real-time 3D whole-heart cardiac cine.

Results: Real-time 3D cardiac functional assessment was successfully conducted. The cardiac parameters for each heartbeat exhibited strong consistency throughout the entire data acquisition period, which included eight heartbeats from healthy volunteers, while also effectively distinguishing variations between individual heartbeats.

Impact: SPARTA-3D enables real-time 3D cardiac assessment for each heartbeat, offering comprehensive whole-heart coverage and high temporal resolution of approximately 50 ms. This technique holds significant potential for diagnosing cardiovascular diseases, particularly arrhythmias, by effectively capturing critical beat-to-beat variations.

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