Meeting Banner
Abstract #1515

Fast Multi-contrast MRI Super-resolution with Similar Anatomical Structure

Hong Zheng1, Zhengjian Bai2, Yunsong Liu1, Di Guo3, Jiyang Dong1, Zhong Chen1, and Xiaobo Qu1

1Dept. of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China, Xiamen, People's Republic of China, 2School of Mathematical Sciences, Xiamen University, Xiamen 361005, China, People's Republic of China, 3Dept. of Computer Science, Xiamen University of Technology, Xiamen 361024, China, People's Republic of China

Since magnetic resonance imaging (MRI) can offer images of an object with different contrasts, e.g., T1-weighted or T2-weighted, the shared information between inter-contrast images can be used to benefit super-resolution. Regarding the image as a locally stationary Gaussian process and using the least square method, we found weights of a local window are to be nearly invariant to image contrasts, which can be further used to transfer the shared information from one contrast to another. We analyze this property with comprehensive mathematics and numeric experiments. The reconstructed edges are more consistent to the original high-resolution image, indicated with higher PSNR and SSIM than the compared methods.

This abstract and the presentation materials are available to members only; a login is required.

Join Here