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

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

Corrigendum to "The insular cortex-nucleus tractus solitarius glutamatergic pathway involved in acute stress-induced gastric mucosal damage in rats" [Neurobiol. Stress (2025) 100723].

Neurobiology of stress·2026
Same author

Sandwich nanofiber membrane with high thermal conductivity boundary for high-flux membrane distillation.

Environmental research·2026
Same author

Deep Learning Algorithms Versus Radiologists in Digital Breast Tomosynthesis for Breast Cancer Detection: Systematic Review and Meta-Analysis.

Journal of medical Internet research·2026
Same author

Prognostic Value of the Nutritional Risk Index and Hemoglobin-to-Platelet Ratio Score for Predicting Recurrence and Survival in Siewert II/III Gastroesophageal Junction Adenocarcinoma.

Journal of gastrointestinal cancer·2026
Same author

Identification of the <i>PFK</i> gene family in <i>Solanum</i> species and expression analysis in the fruitof <i>Solanum lycopersicum</i>.

Frontiers in genetics·2026
Same author

In vivo metabolic tagging and targeting of circulating red blood cells.

Nature communications·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: May 24, 2025

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents
08:59

Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents

Published on: April 15, 2016

6.8K

学习多维MR图像重建的脱的表示.

Ruiyang Zhao, Zepeng Wang, Fan Lam

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括
    此摘要是机器生成的。

    我们开发了一种用于多维磁共振成像 (MRI) 重建的新方法. 我们的方法解开了图像特征,以改善对比度和几何表示,从而实现更快的MRI扫描.

    更多相关视频

    Quantifying Mixing using Magnetic Resonance Imaging
    07:33

    Quantifying Mixing using Magnetic Resonance Imaging

    Published on: January 25, 2012

    10.9K
    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
    10:44

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

    Published on: June 21, 2024

    404

    相关实验视频

    Last Updated: May 24, 2025

    Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents
    08:59

    Use of a Multi-compartment Dynamic Single Enzyme Phantom for Studies of Hyperpolarized Magnetic Resonance Agents

    Published on: April 15, 2016

    6.8K
    Quantifying Mixing using Magnetic Resonance Imaging
    07:33

    Quantifying Mixing using Magnetic Resonance Imaging

    Published on: January 25, 2012

    10.9K
    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
    10:44

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

    Published on: June 21, 2024

    404

    科学领域:

    • 医疗成像医学成像
    • 人工智能的人工智能
    • 图像重建 图像的重建

    背景情况:

    • 多维磁共振成像 (MRI) 产生复杂的数据集.
    • 当前的重建方法在解开各种图像特征方面面临着挑战.
    • 加快MRI采集对于临床效率至关重要.

    研究的目的:

    • 为多维MRI提出一种新的表示和重建框架.
    • 为了使图像特征如对比度和几何学能够脱而出.
    • 提高MRI重建的效率和准确性,特别是在加速协议中.

    主要方法:

    • 一个自动编码器被训练来学习解的隐性空间,用于特征表示.
    • 使用隐性扩散模型来捕捉分离特征的分布.
    • 一个新的配方整合了学习表征,并提供了从稀疏数据重建的补充约束.

    主要成果:

    • 在多对照MRI中成功解开对比度和几何特征.
    • 在加速T1和T2映射中证明了有效性.
    • 拟议的方法可以从稀疏的数据中进行可靠的重建.

    结论:

    • 开发的方法为多维MRI重建提供了强大的方法.
    • 功能解增强了复杂的MRI数据的表示.
    • 这种技术有望加速MRI采集并改善诊断能力.