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Magnetic Resonance Imaging

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...

Imaging Studies for Cardiovascular System IV: CMRI

Imaging Studies for Cardiovascular System IV: CMRI

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,...

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...

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Updated: Jun 8, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 13, 2011

基于心血管磁共振的基于深度学习的加速功能评估.

Domenico De Santis¹, Federica Fanelli¹, Luca Pugliese¹

¹Department of Medical-Surgical Sciences and Translational Medicine, School of Medicine and Psychology, Sapienza - University of Rome, Sant'Andrea University Hospital, Via Di Grottarossa, 1035-1039, 00189, Rome, Italy.

La Radiologia medica

|May 17, 2025

概括

深度学习 (DL) 电影序列在心血管磁共振 (CMR) 中快速准确量化左心室和右心室参数,与传统平衡稳定状态自由前行 (bSSFP) 序列的图像质量相匹配.

关键词:

人工智能的人工智能是人工智能.心脏磁力共振成像 (MRI)心脏功能是如何工作的心血管磁共振是一种心血管磁共振.深度学习是一种深度学习.快速成像的成像方法

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相关实验视频

Last Updated: Jun 8, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

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Published on: February 13, 2011

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Published on: July 20, 2022

科学领域:

心血管成像 - 心血管成像
人工智能在医学中的应用
医学诊断医学诊断医学诊断

背景情况:

心血管磁共振 (CMR) 对于评估心脏功能至关重要.
传统的平衡稳态自由前行 (bSSFP) 电影序列是CMR的标准,但可能耗时.
深度学习 (DL) 提供了更快,更有效的图像获取和分析的潜力.

研究的目的:

为了比较DL电影序列的诊断准确度和图像质量与传统bSSFP电影序列在CMR中用于左心室 (LV) 和右心室 (RV) 参数定量化.
与bSSFP序列相比,评估DL电影序列的速度.

主要方法:

预期包括接受临床指示CMR的患者.
来自bSSFP和DL电影序列的LV和RV的细分.
计算LV和RV的体积和功能参数 (EDV,ESV,SV,EF,LV质量).
使用统计测试和布兰德-阿尔特曼分析对参数进行比较,以达成一致.
两个阅读器使用5分利克特尺度对图像质量的评估.

主要成果:

在DL cine和bSSFP序列之间没有发现LV和RV参数的显著差异 (P≥.176).
DL cine 序列比 bSSFP 序列 (2.83 分钟) 快得多 (1.35 分钟) (P < .001).
在DL cine和bSSFP之间观察到很强的一致性,对末缩体积,中风体积和末腹缩体积的一致性有可接受的界限.
整体图像质量是可比的,尽管内心边缘的定义在DL cine中略低一些.

结论:

深度学习电影序列可以快速准确地量化CMR中的LV和RV参数.
DL cine的诊断准确度和整体图像质量与传统的bSSFP序列相提并论.
DL cine代表了有效的心血管磁共振成像的有前途的进步.