MR Fingerprinting and Complex-Valued Neural Network for Amyloid Quantification : A Voxel-Wise Approach [presidential Award Proceedings]

Shohei Fujita,Yujiro Otsuka,Katsutoshi Murata,Gregor Koerzdoerfer,Mathias Nittka,Yumiko Motoi,Madoka Nakajima,Koji Murakami,Berkin Bilgic̦,Issei Fukunaga,Koji Kamagata,Osamu Abe,Shigeki Aoki

Nihon Jiki Kyōmei Igakkai zasshi/Nihon Jiki Kyomei Igakukai zasshi（2023）

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摘要

Synopsis : We developed a framework that quantifies voxel-level amyloid burden in the brain with MR fingerprinting (MRF) and neural networks. The neural network was trained voxel-wise on in vivo amyloid-PET imaging data and MRF acquisitions to estimate PET-derived amyloid deposition from the signal evolution.

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