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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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...
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相关实验视频

Updated: Jul 5, 2025

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
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用于结合复杂运动和流量的心血管MR模拟的CMRsim-A Python包.

Jonathan Weine1, Charles McGrath1, Pietro Dirix1

  • 1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.

Magnetic resonance in medicine
|January 18, 2024
PubMed
概括

这项研究介绍了CMRsim,这是用于心血管磁共振 (CMR) 模拟的开源框架. 它使CMR成像中的复杂运动和流的研究成为可能,进步了采集和重建技术.

关键词:
我们的GPU是GPU的GPU这是一个MRI模拟模拟.在这里,Python是Python.心血管疾病的心血管疾病运动运动运动运动运动.这是开源的,开源的.

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科学领域:

  • 医疗成像医学成像
  • 计算科学 计算科学
  • 生物物理学的生物物理.

背景情况:

  • 心血管磁共振 (CMR) 成像对于诊断心脏病至关重要.
  • 精确模拟复杂的生理过程,如运动和流动,对于开发先进的CMR技术至关重要.
  • 现有的模拟工具往往缺乏模拟复杂动态的能力,阻碍了CMR获取和重建的进展.

研究的目的:

  • 介绍CMRsim,一种新的开源软件框架,用于模拟心血管磁共振 (CMR) 图像.
  • 为了使复杂的生理运动和流在CMR模拟中能够被纳入.
  • 促进系统研究和开发先进的CMR获取和重建策略.

主要方法:

  • CMRsim使用具有复杂运动的动态数字幻影作为图像模拟的输入.
  • 它提供了两个模拟范式:Bloch方程的数值和分析解决方案.
  • TensorFlow和GPU加速用于高效的高速模拟,包括流和扩散张力图像.

主要成果:

  • 在相对比成像中对流的模拟表明了相对比和大小调制的特征,反映了真实世界的数据.
  • 心脏扩散张力成像模拟准确地反映了由于应变而导致的扩散指标的改变.
  • 该框架实现了具有竞争力的模拟速度,复杂的流动模拟大约需要29分钟,扩散成像每体积大约10秒.

结论:

  • CMRsim是第一个开源框架,能够可行地结合复杂的运动,包括流,用于高级CMR研究.
  • 它的模块化和透明的设计促进了可维护性和可扩展性,支持可重复的科学努力.
  • 该工具使研究人员能够系统地调查和完善CMR获取和重建方法.