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Dec, 2023
非笛卡尔自监督物理驱动深度学习重建高加速多回波螺旋磁共振成像
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI
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Hongyi Gu, Chi Zhang, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger...
TL;DR
本文提出一种基于物理驱动的深度学习重建技术来加速多回波螺旋 fMRI,从而实现高时空分辨率和有意义的 BOLD 分析。
Abstract
functional mri
(fMRI) is an important tool for non-invasive studies of brain function. Over the past decade,
multi-echo fmri
methods that sample multiple echo times has become popular with potential to improve qu
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