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Abstract #2664

Knee MR Image Translation from Multi Contrast Images for Fat Suppression via Deep Learning with Perceptual Loss

Sewon Kim1, Hanbyol Jang1, Kaustubh Lall2, Armin Jamshidi2, Sheronda Statum2,3, Christine B. Chung2,3, Won C. Bae*2,3, and Dosik Hwang*1
1Yonsei University, Seoul, Republic of Korea, 2University of California-San Diego, San Diego, CA, United States, 3VA San Diego Healthcare System, San Diego, CA, United States

The goal of this study is to generate PD Fat Suppression (PD FS) knee magnetic resonance (MR) image using deep neural network with three multi-contrast MR images (T1-weighted, T2-weighted, PD-weighted images). The results of our study show that our deep learning model can learn the relations between the input multi-contrast images and PD FS image and demonstrate the feasibility of deep learning can generate the features which have an effect on diagnosis.

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