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Updated: Jul 7, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
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通过使用自动深度学习的四维流动心血管磁共振来评估扩张功能,使用E/A比率分析进行自动深度学习

Federica Viola1, Mariana Bustamante2, Ann Bolger3

  • 1Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
|March 31, 2024
PubMed
概括

这项研究比较了自动和半自动的4D Flow CMR方法来评估在透缩功能障碍中E/A比率. 基于深度学习的自动化方法与心声回声学有着强烈的关联,并获得了最快的结果.

关键词:
4D 流 CMR 是一个 4D 流 CMR.深度学习是一种深度学习.扩张功能 扩张功能在EA比率上,EA比率是EA比率.

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