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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.0K
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...
5.0K

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

The dynamic functional connectivity peak index: Detection of interictal epileptic activity with fMRI.

Epilepsia·2026
Same author

Disrupted Coupling of Heart Rate-Dependent Brain Network Switching and Attentional Task Performance in Schizophrenia Spectrum Disorders.

medRxiv : the preprint server for health sciences·2026
Same author

A Novel Therapeutic Mechanism for Nicotine Craving in Schizophrenia.

medRxiv : the preprint server for health sciences·2026
Same author

Parietal Default Mode Network Connectivity is Associated with Tobacco Use in Psychosis.

medRxiv : the preprint server for health sciences·2026
Same author

Vagus nerve stimulation alters task-evoked pupillary responses in older but not younger adults: A single-blind active sham-controlled crossover trial.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Network-targeted TMS modulates nicotine craving and default mode network connectivity in psychotic disorders.

Brain stimulation·2026
Same journal

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Reconstructing physiological signals from fMRI across the adult lifespan.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.

Proceedings of SPIE--the International Society for Optical Engineering·2026
查看所有相关文章

相关实验视频

Updated: Jun 14, 2025

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

28.4K

在扩散MRI张力模拟中非线性梯度场估计.

Praitayini Kanakaraj1, Tianyuan Yao1, Nancy R Newlin1

  • 1Vanderbilt University, Nashville, TN, USA.

Proceedings of SPIE--the International Society for Optical Engineering
|September 2, 2024
PubMed
概括
此摘要是机器生成的。

这项研究提出了一种新的数学方法,用于在没有校准扫描的情况下估计扩散MRI中的梯度非线性. 该方法准确地纠正扩散张力成像指标,改善数据质量和分析.

关键词:
磁共振扭曲是指磁共振的扭曲.梯度的非线性是因为梯度的非线性.张量模拟器模拟器

更多相关视频

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

11.7K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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

Published on: November 8, 2012

26.2K

相关实验视频

Last Updated: Jun 14, 2025

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

28.4K
Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

11.7K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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

Published on: November 8, 2012

26.2K

科学领域:

  • 医疗成像医学成像
  • 生物物理学的生物物理.
  • 应用数学 应用数学 应用数学

背景情况:

  • 磁力共振成像中的梯度非线性导致空间扭曲,并影响扩散加权磁力共振成像中的扩散敏感度.
  • 由于扫描仪性能的进步,精确纠正梯度非线性至关重要.
  • 目前的估计方法通常依赖于幻影校准,这并不总是可行的,特别是对于回顾性数据.

研究的目的:

  • 推导和验证一种新的数学方法,用于估计扩散MRI中完全梯度非线性场 (L(r)).
  • 评估估计场的准确性及其对扩散张量计的影响.
  • 提供一种独立于校准扫描的梯度场估计方法.

主要方法:

  • 开发了一种二次最小化问题,以从损坏的扩散MRI信号中估计梯度非线性场L (r).
  • 在两个场景中对该方法进行了评估:已知真扩散张量和估计扩散张量.
  • 使用扩散张力指标评估估计场:平均扩散性 (MD),分数异构性 (FA) 和主要自向量 (V1).

主要成果:

  • 通过张量模拟,数学模型被证明是稳定的,而不是不良的.
  • 当真正的扩散张量已知时,估计的L (r) 场与真实场 (接近零的决定性变化) 密切匹配.
  • 估计的L (r) 校正的扩散指标与真实值相比显示了接近零的中位数差异,结果取决于非线性腐败的程度.

结论:

  • 一种新的数学方法有效地估计了扩散MRI中的梯度非线性场,而不需要额外的校准扫描.
  • 提出的方法准确地纠正扩散张力成像指标,提高了回顾性和前性数据分析的可靠性.
  • 这项工作为改善受梯度非线性影响的扩散MRI数据的质量和可解释性提供了重大进展.