Abstract #3349

Super-Resolution Hybrid Diffusion Imaging (SR-HYDI)

Nahla M H Elsaid^1,2, Pierrick Coupé^3,4, and Yu-Chien Wu^1,2

¹Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indiana University, Indianapolis, IN, United States, ²Indiana Alzheimer Disease Center, Indianapolis, IN, United States, ³University of Bordeaux, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France, ⁴CNRS, LaBRI, UMR 5800, PICTURA, F-33400 Talence, France

In this study, we present and validate an efficient pipeline for submillimeter super-resolution hybrid diffusion imaging (SR-HYDI). The pipeline employs a collaborative patch-based super-resolution interpolation approach, which uses self-similarity to drive the reconstruction of diffusion-weighted images. The FA and MD generated from the proposed pipeline are compared against the ground-truth for validation.

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