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Updated: Jun 16, 2026

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DeepFittingNet:一种基于深度神经网络的方法,用于简化心脏T1和T2估计,并提高了稳定性

Rui Guo1, Dongyue Si2, Yingwei Fan1

  • 1School of Medical Technology, Beijing Institute of Technology, Beijing, China.

Magnetic resonance in medicine
|July 7, 2023
PubMed
概括

一个新的深度神经网络,DeepFittingNet,通过准确估计T1/T2值,简化了心血管MR映射. 与传统方法相比,它为T1估计提供了更好的稳定性,提高了心脏成像中的数据处理.

关键词:
曲线拟合算法曲线拟合算法地图重建地图的重建.心肌T1和T2映射映射神经网络的神经网络的神经网络

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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...