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相关概念视频

Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

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Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
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Updated: Jan 6, 2026

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
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在心脏MRI中使用机器学习和试点音调 (PROMPT) 进行前性呼吸运动校正.

Yue Pan1,2, Ning Jin3, Kelvin Chow3

  • 1Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA.

Magnetic resonance in medicine
|November 26, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的呼吸运动校正技术,使用长期短期记忆 (LSTM) 神经网络. PROMPT方法准确地预测呼吸运动,显著减少心脏MRI扫描中的运动工件.

关键词:
这是LSTM的LSTM.飞行员音调试点音调心血管磁力共振成像 (MRI) 的情况.预期的呼吸运动校正

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科学领域:

  • 医疗成像医学成像
  • 医疗保健中的人工智能
  • 心血管磁力共振成像 (MRI) 的方法

背景情况:

  • 呼吸运动是心脏MRI的主要挑战,导致图像工件并降低诊断准确度.
  • 现有的前景门技术在准确跟踪和补偿呼吸运动方面存在局限性.

研究的目的:

  • 实施和评估基于试点音 (PT) 的前景门和跟踪技术的可行性,称为PROMPT.
  • 利用长期短期记忆 (LSTM) 神经网络从PT信号预测呼吸运动.

主要方法:

  • 进行了特定对象的校准扫描,以从图像和PT数据中估计呼吸运动.
  • 一个LSTM模型被训练来预测PT信号的呼吸运动.
  • 在呼吸纠正扫描期间,PROMPT使用预测的切片移动参数进行实时门关和切片位置更新,在健康志愿者和接受晚期加多增强 (LGE) 患者中进行评估.

主要成果:

  • 该LSTM模型在预测呼吸运动方面表现出很高的准确性,优于线性和多项式回归模型 (NRMSEdB为-7.20dB,MAE为1.97mm).
  • 在LGE成像过程中,PROMPT显著减少了剩余的平面内运动,与自由呼吸的回顾性门相比 (1.22 ± 0.38毫米对比1.35 ± 0.48毫米).

结论:

  • 使用基于LSTM的预测模型的PROMPT技术在心脏MRI中成功实施了呼吸运动校正.
  • 在LGE成像中,PROMPT显著减少了平面内运动,并显示了限制LGE成像中平面内运动的潜力.