Meeting Banner
Abstract #3601

Rapid Region-of-Interest MRI Reconstruction Using Context-Aware Non-Local U-Net

Xinwen Liu1, Jing Wang1,2, Fangfang Tang1, Hongfu Sun1, Feng Liu1, and Stuart Crozier1
1School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Australia, 2School of Information and Communication Technology, Griffith University, Brisbane, Australia

In MRI, region-of-interest (ROI) imaging is frequently used in clinical applications. The sub-sampling-based scheme is capable of accelerating the ROI-focused image reconstruction process but degrades the image quality. The degradation could be alleviated by ROI-weighted optimization; however, existing methods mainly focus on the local signal restoration and have no explicit control of the noise from the entire image. In this abstract, we propose to reconstruct the ROI using a non-local U-net method that incorporates contextual information from the whole image. The results show the proposed algorithm improves PSNR and SSIM over conventional methods.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here