Meeting Banner
Abstract #2663

Are Two MR Images Enough to Generate the Third One Accurately? - Clinically Feasible Fat Suppression of Lumbar Spine MRI from T1w and T2w Images Only

Sewon Kim1, Hanbyol Jang1, Kyungwon Kim1, Hyeon Gyu Kim1, Young Han Lee2, Sungjun Kim*2,3, and Dosik Hwang*1
1Yonsei University, Seoul, Republic of Korea, 2Yonsei University College of Medicine, Seoul, Republic of Korea, 3Gangnam Severance Hospital, Seoul, Republic of Korea

This study aims to generate T2-weighted fat suppression (T2 FS) magnetic resonance (MR) lumbar spine image from T1-weighted (T1-w) and T2-weighted (T2-w) images using fully convolutional neural networks. We trained our model that uses multimodal images (T1-w, and T2-w images) to generate synthetic T2FS images close to the acquired T2FS images. The results of our study show that our deep learning model can properly generate bone marrow edema of the vertebral bodies which significantly impact on diagnosis.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here