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相关实验视频

Updated: Jul 20, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.5K

一种计算机辅助的马尔科夫随机场细分算法,用于评估胎儿心室腔室.

Natarajan Sriraam1, T V Sushma2, S Suresh3

  • 1Centre for Medical Electronics and Computing, MS Ramaiah Institute of Technology, Bangalore 560054, India.

Critical reviews in biomedical engineering
|July 31, 2023
PubMed
概括
此摘要是机器生成的。

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这项研究评估了胎儿心室的自动细分,这对于检测先天性心脏病 (CHD) 至关重要. 该方法显示了与专家注释相似的有希望的结果,有助于早期诊断.

科学领域:

  • 医疗成像医学成像
  • 生物医学工程 生物医学工程
  • 胎儿心脏病学 胎儿心脏病学

背景情况:

  • 先天性心脏病 (CHD) 是最常见的出生缺陷,影响胎儿心脏发育.
  • 准确的胎儿心室细分对于早期检测和干预至关重要.
  • 超声波图像斑点噪声使胎儿心室细分复杂化.

研究的目的:

  • 为了评估胎儿心室腔的自动细分方法的性能.
  • 将自动细分结果与临床专家的手动注释进行比较.
  • 评估基于概率的细分和马尔科夫随机场 (MRF) 方法的有效性.

主要方法:

  • 利用了来自不同怀孕的837个超声波生物测量序列.
  • 采用自动化,基于概率的细分和马尔科夫随机场 (MRF) 技术.
  • 使用子系数,真正比率 (TPR),相似比率 (SIR) 和精度 (PR) 验证的细分效率.
  • 通过专家临床注释对56%的数据进行了合并的基准真实验证.

主要成果:

  • 自动化细分实现了与手动注释相似的结果.
  • 获得了0.68.8的平均子系数.
  • 报告的平均TPR为0.723,SIR为0.604和PR为0.632. 这两者均为0.632.

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相关实验视频

Last Updated: Jul 20, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.5K
Fetal Mouse Cardiovascular Imaging Using a High-frequency Ultrasound 30/45MHZ System
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Fetal Mouse Cardiovascular Imaging Using a High-frequency Ultrasound 30/45MHZ System

Published on: May 5, 2018

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Murine Fetal Echocardiography

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  • 证明了自动化方法在挑战胎儿心脏成像方面的潜力.

    • 结论:

    • 自动细分技术为分析胎儿心室腔提供了一种可靠的方法.
    • 这种方法可以帮助在先天性心脏病的早期和准确诊断.
    • 进一步开发可以提高细分精度和临床适用性.