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Updated: Jan 9, 2026

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在压缩感应MRI重建中对梯度驱动的Denoisers进行交汇复杂的准牛顿近距离方法.

Tao Hong1, Zhaoyi Xu2, Se Young Chun3

  • 1Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712, USA, Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.

IEEE transactions on computational imaging
|December 10, 2025
PubMed
概括

这项研究引入了一种更快,更复杂的近似牛顿近接方法,用于压缩感应 (CS) MRI 重建. 这种新的方法提高了基于模型的CS MRI使用梯度驱动的denoisers的融合速度和理论保证.

关键词:
在CS,MRI,CS,MRI中使用.复杂的领域是复杂的领域.收 收 收 收 收 收渐变驱动的消雾器是渐变驱动的.第二阶级的第二阶级.螺旋和辐射采集的螺旋和辐射采集.

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