Abstract #4929
Accelerated Cardiac MR Imaging with Inline Cascaded Parallel Imaging and Generative Adversarial Neural Network (PI-GAN) Framework
Siyeop Yoon1, Xiaoying Cai1,2, Eiryu Sai1, Salah Assana1, Amine Amyar1, Kelvin Chow3, Amanda Paskavitz1, Julia Cirillo1, Warren J. Manning1, and Reza Nezafat1
1Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 2Siemens Medical Solutions USA, Inc., Boston, MA, United States, 3Siemens Medical Solutions USA, Inc., Chicago, IL, United States
Synopsis
We developed and evaluated an inline cascaded parallel imaging and generative adversarial network for cardiac MRI. The preliminary results show excellent image quality of the cardiac cine images in four heat-beat.
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