AI-based reconstruction from low-resolution acquisitions for diffusion MRI: evaluation of FOD similarity.

Akihiro Kasahara¹, Yuichi Suzuki², Kazuki Endo², Ryosuke Mori², Ryutaro Yano³, Hiroshi Kusahara³, Toshihiro Hayashi², Osamu Abe⁴

¹Radiology Center, The University of Tokyo Hospital, Tokyo, Japan. 3619105k@gmail.com.

²Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.

³Canon Medical Systems Corporation, Tochigi, Japan.

⁴Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan.

PubMed DOI

Abstract

MRI provides essential insights into tissue microstructure, and high angular resolution diffusion imaging (HARDI) enables detailed assessment of complex white matter architecture through fiber orientation distribution (FOD) analysis. However, HARDI requires high b-values and multiple diffusion directions, leading to reduced signal-to-noise ratio (SNR) and long scan times. Conventional zero-fill in…

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