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相关概念视频

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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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相关实验视频

Updated: Jul 12, 2025

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
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使用基于深度学习的重建的加速电影心脏MRI:系统性评估.

Amol Pednekar1,2, Murat Kocaoglu1,2, Hui Wang1,2,3

  • 1Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

Journal of magnetic resonance imaging : JMRI
|October 19, 2023
PubMed
概括

低样本心脏MRI的深度学习重建 (DLR) 可以保持对双心室体积的诊断准确性,即使有显著的加速. 这种技术可以缩短呼吸时间,提高患者的耐受性和扫描效率.

关键词:
适应性智能是一种适应性智能.双心室体积的两心室体积.心脏磁力共振成像 (MRI)电影影像成像技术 (Cine Imaging) 是一个压缩的感觉 压缩的感觉

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科学领域:

  • 心血管成像 - 心血管成像
  • 医学物理 医学物理
  • 人工智能在医学中的应用

背景情况:

  • 屏住呼吸 (BH) 对于平衡稳定状态自由前行 (bSSFP) 成像,对具有有限BH能力的患者构成挑战.
  • 基于深度学习的重建 (DLR) 提供了一个潜在的解决方案,通过使用低采样k空间数据实现更快的成像.
  • DLR的目标是保持心脏MRI期间心室评估的图像质量和准确性.

研究的目的:

  • 系统地评估DLR对 cine bSSFP图像的性能,这些图像采用不同程度的k空间低采样.
  • 评估不同加速度因子对图像质量和诊断充分性的影响.
  • 为了确定DLR保持可靠心室体积测量的最大加速度因子.

主要方法:

  • 从15名乳腺挖掘患者的cine bSSFP数据的回顾性分析.
  • 使用压缩灵敏度编码 (C-SENSE) 对k空间进行系统的低采样,加速度因子 (R) 从2到8.
  • 使用结构相似度指数 (SSIM) 量化图像质量评估和经验丰富的读者对对比度和边缘定义的定性评估.
  • 使用商业软件进行自动双心膜细分.

主要成果:

  • 随着加速系数 (R) 的增加,观察到图像质量和边缘定义的显著下降.
  • 在R=5.5的加速度因子上保持了诊断上充足的图像质量.
  • 没有发现加速因子对双心室体积指数的显著影响 (P=0.447).

结论:

  • 低样本 cine bSSFP 数据的深度学习重建可与双心室体积评估的全样本数据相比较,最高可达 R=5.5 的加速因子.
  • DLR有望减少心脏MRI的喘息时间,而不会影响体积精度.
  • 这种方法可以提高心脏MRI检查中的患者舒适度和扫描效率.