Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation

Xiaodan Xing; Yinzhe Wu; David Firmin; Peter Gatehouse; Guang Yang

doi:10.1117/12.2611118

4 April 2022 Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation

Xiaodan Xing, Yinzhe Wu, David Firmin, Peter Gatehouse, Guang Yang

Proceedings Volume 12032, Medical Imaging 2022: Image Processing; 120322Y (2022) https://doi.org/10.1117/12.2611118
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Conference Poster

Abstract

Temporal patterns of cardiac motion provide important information for cardiac disease diagnosis. This pattern could be obtained by three-directional CINE multi-slice left ventricular myocardial velocity mapping (3Dir MVM), which is a cardiac MR technique providing magnitude and phase information of the myocardial motion simultaneously. However, long acquisition time limits the usage of this technique by causing breathing artifacts, while shortening the time causes low temporal resolution and may provide an inaccurate assessment of cardiac motion. In this study, we proposed a frame synthesis algorithm to increase the temporal resolution of 3Dir MVM data. Our algorithm is featured by 1) three attention-based encoders which accept magnitude images, phase images, and myocardium segmentation masks respectively as inputs; 2) three decoders that output the interpolated frames and corresponding myocardium segmentation results; and 3) loss functions highlighting myocardium pixels. Our algorithm can not only increase the temporal resolution 3Dir MVMs, but can also generates the myocardium segmentation results at the same time.

Citation Download Citation

Xiaodan Xing, Yinzhe Wu, David Firmin, Peter Gatehouse, and Guang Yang "Synthetic velocity mapping cardiac MRI coupled with automated left ventricle segmentation", Proc. SPIE 12032, Medical Imaging 2022: Image Processing, 120322Y (4 April 2022); https://doi.org/10.1117/12.2611118

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