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

TL;DR

This study demonstrates that using the Fugaku supercomputer with FSL software significantly accelerates MRI data processing while maintaining high accuracy and consistency with traditional systems.

Contribution

It introduces the application of Fugaku supercomputer for MRI data processing using FSL, showing improved speed and reliability over conventional systems.

Findings

Processing time was significantly reduced.

Results were highly consistent with conventional systems.

FSL commands are effective on supercomputers for MRI analysis.

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.