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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