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Abstract #1242

Motion Correction of Contrast-enhanced Pediatric Brain MRI with Optional Non-contrast-enhanced Synthesis within a Single Neural Network

Jaeuk Yi1, Sewook Kim1, Seul Lee1, Mohammed A. Al-Masni1, Sung-Min Gho2, Young Hun Choi3, and Dong-Hyun Kim1
1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Collaboration & Development, GE Healthcare, Seoul, Korea, Republic of, 3Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of


Based on the observation that motion corruption and contrast pairs do not exist in a separable way in clinically obtained pediatric contrast-enhanced scans, we developed a neural network for both motion correction and optional non-contrast-enhanced image synthesis for contrast-enhanced pediatric brain MRI. We designed a neural network architecture and training schema specific to this task. We found that motion correction performance was not degraded by doing contrast synthesis simultaneously.

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