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

Synopsis

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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