Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer
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arXiv
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916326299140096 |
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| author | Lyu, Tianxiang Uchida, Wataru Sun, Zhe Andica, Christina Tokuda, Keita Zou, Rui Mao, Jie Shimoji, Keigo Kamagata, Koji Sato, Mitsuhisa Himeno, Ryutaro Aoki, Shigeki |
| author_facet | Lyu, Tianxiang Uchida, Wataru Sun, Zhe Andica, Christina Tokuda, Keita Zou, Rui Mao, Jie Shimoji, Keigo Kamagata, Koji Sato, Mitsuhisa Himeno, Ryutaro Aoki, Shigeki |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_11742 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer Lyu, Tianxiang Uchida, Wataru Sun, Zhe Andica, Christina Tokuda, Keita Zou, Rui Mao, Jie Shimoji, Keigo Kamagata, Koji Sato, Mitsuhisa Himeno, Ryutaro Aoki, Shigeki Medical Physics Distributed, Parallel, and Cluster Computing Quantitative Methods 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. |
| title | Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer |
| topic | Medical Physics Distributed, Parallel, and Cluster Computing Quantitative Methods |
| url | https://arxiv.org/abs/2407.11742 |