Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer

Tianxiang Lyu; Wataru Uchida; Zhe Sun; Christina Andica; Keita Tokuda; Rui Zou; Jie Mao; Keigo Shimoji; Koji Kamagata; Mitsuhisa Sato; Ryutaro Himeno; Shigeki Aoki

Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer

Medical Physics 2024-07-17 v1 Distributed, Parallel, and Cluster Computing Quantitative Methods

Authors: Tianxiang Lyu , Wataru Uchida , Zhe Sun , Christina Andica , Keita Tokuda , Rui Zou , Jie Mao , Keigo Shimoji , Koji Kamagata , Mitsuhisa Sato , Ryutaro Himeno , Shigeki Aoki

View on arXiv ↗ PDF ↗

Abstract

The amount of Magnetic resonance imaging data has grown tremendously recently, creating an urgent need to accelerate data processing, which requires substantial computational resources and time. In this preliminary study, we applied FMRIB Software Library commands on T1-weighted and diffusion-weighted images of a single young adult using the Fugaku supercomputer. The tensor-based measurements and subcortical structure segmentations performed on Fugaku supercomputer were highly consistent with those from conventional systems, demonstrating its reliability and significantly reduced processing time.

Cite

@article{arxiv.2407.11742,
  title  = {Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer},
  author = {Tianxiang Lyu and Wataru Uchida and Zhe Sun and Christina Andica and Keita Tokuda and Rui Zou and Jie Mao and Keigo Shimoji and Koji Kamagata and Mitsuhisa Sato and Ryutaro Himeno and Shigeki Aoki},
  journal= {arXiv preprint arXiv:2407.11742},
  year   = {2024}
}

Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer

Abstract

Cite

Related papers