Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

657
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
657
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

4.9K
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...
4.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

New Growth, New Opportunities.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

Influence of early through late fusion on pancreas segmentation from imperfectly registered multimodal magnetic resonance imaging.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

White matter hyperintensities and relapse risk in late-life depression.

Journal of affective disorders·2025
Same author

Unsupervised discovery of clinical disease signatures using probabilistic independence.

Journal of biomedical informatics·2025
Same author

Multi-contrast computed tomography atlas of healthy pancreas with dense displacement sampling registration.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

The effect of Alzheimer's disease genetic factors on limbic white matter microstructure.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same journal

Incremental diagnostic value of microstructural time-dependent diffusion MRI in differentiating PCNSL from glioblastoma over conventional MRI.

Magnetic resonance imaging·2026
Same journal

Enhanced motion compensation for free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling.

Magnetic resonance imaging·2026
Same journal

The allegory of the cave: 10 years of AI shadows in radiology.

Magnetic resonance imaging·2026
Same journal

Conversion of 3 T liver, spleen, pancreas, and kidney R2* measurements to 1.5 T R2* equivalents: Validation of a theoretical framework.

Magnetic resonance imaging·2026
Same journal

Cine-derived mitral annular relaxation velocity for detection of preclinical left ventricular diastolic dysfunction.

Magnetic resonance imaging·2026
Same journal

Bone marrow fat fraction and R2* in sickle cell disease: Associations with hemolysis, iron metabolism, and disease severity.

Magnetic resonance imaging·2026
查看所有相关文章

相关实验视频

Updated: Jun 1, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K

基于深度学习的单扩散MRI自由水校正.

Tianyuan Yao1, Derek B Archer2, Praitayini Kanakaraj1

  • 1Department of Computer Science, Vanderbilt University, Nashville, TN, USA.

Magnetic resonance imaging
|January 19, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种深度学习方法,用于纠正扩散MRI中的自由水效应,提高单数据的准确性. 该方法增强了白质管道可视化和扩散性质估计的一致性.

关键词:
深度学习是一种深度学习.扩散式核磁共振成像 (MRI)免费的水消除免费的水消除.可复制性 可复制性

更多相关视频

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.3K
Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

11.6K

相关实验视频

Last Updated: Jun 1, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.3K
Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

11.6K

科学领域:

  • 神经成像是一种神经成像.
  • 生物医学工程 生物医学工程
  • 计算神经科学是一种神经科学.

背景情况:

  • 在扩散MRI中,自由水消除 (FWE) 建模对于准确的扩散属性估计至关重要.
  • 自由水的部分体积效应,特别是在白物质-脑脊液接口,偏差扩散测量.
  • 现有的FWE模型通常不适合常见的单dMRI数据.

研究的目的:

  • 开发和评估一个深度学习框架,用于绘制和纠正在扩散MRI中的自由水部分体积污染.
  • 在各种dMRI采集方案中使用数据驱动技术实现准确的FWE建模,包括单数据.
  • 提高在不同数据集中扩散MRI分析的可靠性和清晰度.

主要方法:

  • 提出了一种新的深度学习框架,用于推断和纠正扩散加权成像 (DWI) 中的自由水体积.
  • 该方法应用于单和多dMRI数据集,包括人类连接组项目 (HCP) 年轻成人和老龄化数据集和脑瘤连接组 (BTC) 数据.
  • 通过对新数据集进行微调和b值重新映射来评估模型的概括性.

主要成果:

  • 与现有的单方法相比,深度学习方法产生了更合理的自由水估计.
  • 该方法在扫描/重新扫描期间的扩散性估计中显示出更好的一致性.
  • 观察到神经通路识别的提高准确性和白质道的更清晰的可视化.

结论:

  • 拟议的深度学习框架有效地纠正dMRI中的自由水部分体积效应,即使是单收购.
  • 该方法为改善不同数据集和采集参数的扩散MRI分析的准确性和稳定性提供了可通用的解决方案.
  • 这种方法具有很大的潜力,可以通过提供更可靠的大脑微观结构信息来推进神经成像研究和临床应用.