Abstract #2142

Manifold recovery in cardiac dynamic MRI (dMRI) with different reduction factors

Ziling Jiao¹, Yichen Zheng¹, Hanyu Wei¹, Shuo Chen¹, Leslie Ying^2,3, Chun Yuan^1,4, and Rui Li¹

¹Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, ²Electrical Engineering, University at Buffalo, State University of New York, Buffalo, NY, United States, ³Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY, United States, ⁴Department of Radiology, University of Washington, Seattle, WA, United States

Manifold models have been developed as an effective tool in dynamic MRI recently. With the abilities of characterizing the relationship between dMRI images series, they could be used to reconstruct high-quality image series from MRI data sampled below the Nyquist rate. However, the amount of MRI data required by manifold recovery is not clear yet. In this study, we did some simulation experiments to investigate the relationship between image quality of cardiac dynamic MRI and reduction factor, and proposed an optimized reduction factor considering both image quality and acquisition efficiency.

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