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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...

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Updated: Jul 10, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

使用条件扩散概率模型 (MAR-CDPM) 的MRI运动工件减少.

Mojtaba Safari^1,2, Xiaofeng Yang³, Ali Fatemi^4,5

¹Département de physique, de génie physique et d'optique, et Centre de recherche sur le cancer, Université Laval, Quebec, Quebec, Canada.

Medical physics

|November 27, 2023

概括

此摘要是机器生成的。

这项研究引入了一种新的运动校正方法 (MAR-CDPM),用于从MRI扫描中删除文物. 该方法有效地提高了图像质量,特别是对于老年患者,在扫描期间容易运动.

关键词:

解剖学MRI是指一个MRI.深度学习是一种深度学习.在k-空间.运动工件模拟模拟运动工件模拟后期处理后期处理

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Last Updated: Jul 10, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

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科学领域:

医疗成像医学成像
人工智能的人工智能
神经科学是一个神经科学.

背景情况:

高分辨率的MRI提供了关键的诊断信息,但在长时间的获取序列中受到运动工件的限制.
运动工件损害了MRI后处理算法的准确性.

研究的目的:

开发和评估一种新的回顾性运动校正方法,MAR-CDPM (使用条件扩散概率模型减少运动工件).
为了从多中心3D对比增强T1 MPRAGE脑数据集中删除各种脑瘤类型的运动文物.

主要方法:

利用两个MRI数据集:一个是来自230名脑瘤患者的3D ceT1 MPRAGE和2D T2-FLAIR,另一个是来自148名健康志愿者的3D T1W.
在k空间中生成了in silico运动工件,并训练了一个条件网络 (Unet骨干) 来逆转扩散过程,创建了MAR-CDPM.
通过使用定量指标 (NMSE,SSIM,PSNR,VIF) 和定性评估,对监督的Unet,CycleGAN和Pix2pix模型进行了MAR-CDPM的评估.

主要成果:

在保存软组织对比度和脑结构,包括瘤边界方面,MAR-CDPM在质量上优于其他方法.
在移除in silico运动工件方面,MAR-CDPM取得了卓越的性能,由更高的PSNR和VIF证明.
在时间步骤和T2-FLAIR条件下的模型显示,对于in silico数据,NMSE,MS-SSIM,SSIM和MS-GMSD的显著改善.

结论:

在3D ceT1 MPRAGE扫描中,MAR-CDPM有效地删除了运动文物.
这种方法特别有利于成像老年患者,这些老年患者在漫长的MRI采集过程中可能会经历非自愿的运动.