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

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...
Magnetic Resonance Imaging01:24

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...
Divergence and Curl of Magnetic Field01:26

Divergence and Curl of Magnetic Field

The magnetic field due to a volume current distribution given by the Biot–Savart Law can be expressed as follows:
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

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

Characterizing functional connectivity alterations in functional/ dissociative seizures using resting-state and naturalistic fMRI.

Epilepsy & behavior : E&B·2026
Same author

High-Resolution Diffusion Kurtosis Imaging of Hippocampus Subfields Across the Healthy Lifespan.

NMR in biomedicine·2026
Same author

Longitudinal evaluation of hippocampal subfields volumes and episodic memory in breast cancer patients and healthy controls.

Brain imaging and behavior·2026
Same author

Microstructural variation of hippocampal substructures across childhood and adolescence quantified with high-gradient diffusion MRI.

Communications biology·2026
Same author

Revisiting the interpretation of axon diameter mapping using higher-order signal representations.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Biomarkers.

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

相关实验视频

Updated: Jun 13, 2026

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

26.1K

用于扩散MRI测量器等价卷积神经网络的测量器等价卷积神经网络

Uzair Hussain1, Ali R Khan2,3,4

  • 1Centre for Functional and Metabolic Mapping, Robarts Research Institute, Western University, 100 Perth Dr, London, ON N6A 5K8, Canada.

Scientific reports
|March 21, 2025
PubMed
概括

尺度等价卷积神经网络 (gCNNs) 通过处理球形数据,在扩散MRI (dMRI) 中增强角度分辨率. 这种方法减少了扩散张量成像 (DTI) 参数预测的扫描时间和受试者数量.

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

28.2K
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 13, 2026

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

26.1K
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

28.2K
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.
  • 医疗成像医学成像
  • 计算神经科学是一种神经科学.

背景情况:

  • 扩散MRI (dMRI) 通过水分子扩散性提供神经元纤维的方向信息.
  • 获得足够多的dMRI图像以获得可靠的角度分辨率需要很长的扫描时间和高成本.
  • 由于dMRI数据的球形和非欧几里德性质,目前的方法面临挑战.

研究的目的:

  • 为dMRI分析引入标量等价卷积神经网络 (gCNN) 层.
  • 为了应对处理球形dMRI数据与已识别的反足点的挑战.
  • 为了提高角度分辨率,并使扩散张力成像 (DTI) 参数的预测能够用更少的梯度方向.

主要方法:

  • 开发专门为真实投射平面分散体设计的 gCNN 层,这是dMRI 的非欧几里德域.
  • 在dMRI数据中应用ChNNs来提升样本角分辨率.
  • 使用在有限扩散梯度方向 (六个方向) 上训练的模型预测DTI参数.

主要成果:

  • 开发的CGNN有效地处理dMRI数据的独特几何性质.
  • 该方法允许从减少数量的扩散梯度方向准确预测DTI参数.
  • 与标准的3D卷积模型相比,ChNNs证明了与较少的受试者进行训练的能力.

结论:

  • cGNN提供了一种新的方法来克服dMRI数据采集的局限性.
  • 这种技术可以显著减少扫描时间,成本和临床采用dMRI的障碍.
  • 在dMRI中使用cGNN有助于更有效的神经成像研究和临床应用.