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

Identification of candidate genes and metabolites associated with lactation performance in Kazakh mares using blood multi-omics and machine learning.

BMC genomics·2026
Same author

Genome-Wide Association Study Reveals Genetic Loci Associated with Body Measurement Traits in Yanqi Horses.

Animals : an open access journal from MDPI·2026
Same author

Integrative Metabolomic and Echocardiographic Profiling Reveals Metabolic-Cardiac Structural Coupling in Yili Horses During Incremental Exercise.

Animals : an open access journal from MDPI·2026
Same author

NIR-Programmable Stealth 2D Black Phosphorus Nanobiointerfaces for Deep Tumor Penetration and Photoimmunotherapy.

ACS nano·2026
Same author

A wearable paper-based SGR/MCC microneedle array sensor for continuous glucose monitoring.

Microsystems & nanoengineering·2026
Same author

Simultaneous multi-band multi-spectral imaging using multi-band RF excitation for accelerated metal artifact reduction in MRI-guided interventions.

Medical physics·2026

相关实验视频

Updated: May 24, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.3K

一个修改的参考扫描方法,用于MR图像异质性纠正.

Yufu Zhou, Zhicheng Liu, Penghui Luo

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究提出了一种新的方法,通过减少强度和均性而提高磁共振成像 (MRI) 质量,而不会增加噪音. 该技术通过提高信号与噪声比率 (SNR) 来提高诊断准确度.

    更多相关视频

    Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
    17:16

    Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

    Published on: December 9, 2010

    10.3K
    Noninvasive In Vivo Small Animal MRI and MRS: Basic Experimental Procedures
    12:27

    Noninvasive In Vivo Small Animal MRI and MRS: Basic Experimental Procedures

    Published on: October 20, 2009

    16.0K

    相关实验视频

    Last Updated: May 24, 2025

    Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
    09:30

    Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

    Published on: December 18, 2016

    19.3K
    Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
    17:16

    Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring

    Published on: December 9, 2010

    10.3K
    Noninvasive In Vivo Small Animal MRI and MRS: Basic Experimental Procedures
    12:27

    Noninvasive In Vivo Small Animal MRI and MRS: Basic Experimental Procedures

    Published on: October 20, 2009

    16.0K

    科学领域:

    • 医疗成像医学成像
    • 生物医学工程 生物医学工程
    • 图像处理 图像处理

    背景情况:

    • 强度不均性是磁共振成像 (MRI) 的一个重大挑战,影响诊断准确度.
    • 传统的校正方法可以引入噪声,降低信号对噪声比率 (SNR).

    研究的目的:

    • 开发一种改进的参考扫描方法,用于磁共振成像 (MRI) 不同质性校正.
    • 通过最小化噪音和最大化SNR来提高MRI图像质量和诊断精度.

    主要方法:

    • 在感兴趣区域 (ROI) 内的敏感度图的空间一致性被利用.
    • 采用先进的聚类,用于精细的ROI面膜提取,可适应各种组织类型.
    • 应用局部加权光滑,以创建无噪声的灵敏度图.

    主要成果:

    • 拟议的方法实现了与现有技术相比较的图像统一性.
    • 与其他回顾性和前性校正方法相比,证明了优异的信号噪声比率 (SNR).
    • 视觉分析证实幻影,大脑和腰部MRI图像的图像质量得到了提高.

    结论:

    • 新的修改参考扫描方法有效地纠正了MRI中的强度不均性.
    • 这种方法通过保存和增强SNR,显著提高MRI质量和诊断准确性.