FastCod: fast brain connectivity in diffusion imaging

Zhangxing Bian; Muhan Shao; Jiachen Zhuo; Rao Gullapalli; Aaron Carass; Jerry Prince

doi:10.1117/12.2653644

3 April 2023 FastCod: fast brain connectivity in diffusion imaging

Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao Gullapalli, Aaron Carass, Jerry Prince

Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 124640P (2023) https://doi.org/10.1117/12.2653644
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

Connectivity information derived from diffusion-weighted magnetic resonance images (DW-MRIs) plays an important role in studying human subcortical gray matter structures. However, due to the O(N2 ) complexity of computing the connectivity of each voxel to every other voxel (or multiple ROIs), the current practice of extracting connectivity information is highly inefficient. This makes the processing of high-resolution images and population-level analyses very computationally demanding. To address this issue, we propose a more efficient way to extract connectivity information; briefly, we consider two regions/voxels to be connected if a white matter fiber streamline passes through them—no matter where the streamline originates. We consider the thalamus parcellation task for demonstration purposes; our experiments show that our approach brings a 30 to 120 times speedup over traditional approaches with comparable qualitative parcellation results. We also demonstrate high-resolution connectivity features can be super-resolved from low-resolution DW-MRI in our framework. Together, these two innovations enable higher resolution connectivity analysis from DW-MRI. Our source code is availible at jasonbian97.github.io/fastcod.

Conference Presentation

Citation Download Citation

Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao Gullapalli, Aaron Carass, and Jerry Prince "FastCod: fast brain connectivity in diffusion imaging", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 124640P (3 April 2023); https://doi.org/10.1117/12.2653644

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