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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 6, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

通过条件扩散概率模型生成现实的脑MRI.

Wei Peng¹, Ehsan Adeli¹, Tomas Bosschieter¹

¹Stanford University, Stanford, CA 94305, USA.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|January 3, 2024

概括

此摘要是机器生成的。

这项研究介绍了一种具有记忆效率的条件扩散概率模型 (cDPM),用于合成现实的3D脑MRI. 这种新的方法通过产生多样化,高质量的MRI数据以具有成本效益的方式来增强深度学习模型培训.

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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

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

相关实验视频

Last Updated: Jul 6, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

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

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

科学领域:

神经成像是一种神经成像.
人工智能的人工智能
医学图像分析医学图像分析

背景情况:

获得磁共振成像 (MRI) 数据是昂贵的,限制神经科学深度学习模型的样本大小.
生成对抗网络 (GAN) 对于MRI合成很受欢迎,但存在不稳定性和有限的数据多样性.
扩散概率模型 (DPM) 提供稳定性,但需要大量的计算资源.

研究的目的:

开发一种计算高效的方法来合成高质量,多样化的3D脑MRI.
为解决神经科学研究MRI合成现有GAN和DPM的局限性.
为了使深度学习模型能够在有限的MRI数据集下进行强有力的训练.

主要方法:

提出了一个有条件的DPM (cDPM),具有高效的记忆,细粒度的训练策略.
训练了一台2DcDPM,以在空间距离较远的MRI切片上生成MRI子体积.
利用注意力网络来学习MRI切片之间的相互依赖性,以生成与解剖学一致的3DMRI.

主要成果:

创建了高质量的真实的3D脑部MRI图像.
确保合成MRI的分布与真实MRI数据相似.
成功地为深度学习模型多样化培训数据集.

结论:

拟议的cDPM为3D脑MRI合成提供了稳定且计算效率高的解决方案.
这种方法可以通过克服MRI数据采集的局限性,显著帮助神经科学研究.
该方法有助于创建多样化和高质量的合成MRI数据集,以加强模型培训.