Fiber-Driven Resolution Enhancement of Diffusion-Weighted Images - An Evaluation Using High Resolution Data

Pew-Thian Yap¹, Hongyu An¹, Yasheng Chen¹, Dinggang Shen¹

This abstract presents a post-processing algorithm for effective resolution enhancement of diffusion-weighted images by leveraging local fiber continuity. This algorithms allows us to increase the image resolution from the typical (2mm)^3 to (1mm)^3 with great agreement with actual (1mm)^3 scans. Since the algorithm does not rely on any special hardware or acquisition sequences, it can be applied to all existing data for increasing structural visibility, making it a very valuable tool for aiding identification of abnormalities and in applications such as tractography, segmentation, and registration.