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Abstract #4853

3T to 7T MRI Synthesis via Deep Learning in Spatial-Wavelet Domains

Liangqiong Qu1, Shuai Wang 1, Yongqin Zhang2, Pew-Thian Yap1, and Dinggang Shen1

1Department of Radiology and BRIC,University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2School of Information Science and Technology, Northwest University, Xi'an, China

Ultra-high field 7T MRI scanners, while producing images with exceptional anatomical details, are cost prohibitive and hence highly inaccessible. In this abstract, we propose a novel deep learning network to synthesize 7T T1-weighted images from their 3T counterparts. Our network jointly considers both spatial and wavelet domains to facilitate learning for coarse to fine details.

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