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相关概念视频

Weighted Mean00:57

Weighted Mean

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While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
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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...
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相关实验视频

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

接近R1和R2:临床加权MRI的定量方法.

Shachar Moskovich1, Oshrat Shtangel1, Aviv A Mezer1

  • 1The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Human brain mapping
|December 19, 2024
PubMed
概括

新的MRI量化器从标准加权图像中近似量化大脑微观结构. 这种方法提高了MRI数据的可用性和准确性,用于临床应用.

科学领域:

  • 神经成像是一种神经成像.
  • 生物物理学的生物物理.
  • 医学物理 医学物理

背景情况:

  • 权重MRI (T1w,T2w,PDw) 图像在临床和研究数据库中很常见,但缺乏微观结构的物理意义.
  • 定量MRI (qMRI) 提供了具有物理意义的微观结构信息 (R1,R2),但很少用于大型临床数据集.
  • 像T1w/T2w比率这样的当前近似方法对于准确的微观结构分析有局限性.

研究的目的:

  • 开发和验证新型MRI定量器,通过随时可用的加权MRI数据近似定量R1和R2地图.
  • 提高标准MRI扫描的临床效用和定量准确性.
  • 为整合微结构分析到常规MRI工作流程提供一个简单的管道.

主要方法:

  • 通过结合T1加权 (T1w),T2加权 (T2w) 和质子密度加权 (PDw) 的MRI信号,使用信号方程和数学运算,推导出新型定量器.
  • 估计R1和R2地图使用拟议的定量器:T1w/PDw,T1w/ln (T2w) 对于R1,和ln (T2w/PDw) 对于R2.
  • 验证了体外幽灵,体内人类数据集和来自扩散张力成像 (DTI) 数据集的T2w扫描的量化器.

主要成果:

  • 两个量化器,T1w/PDw和T1w/ln(T2w,成功地近似了R1放松率图.

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  • 在ln ((T2w/PDw) 定量器准确近似R2放松率图.
  • 开发的量化器在各种数据集中显示出稳定性和准确性,包括临床数据和DTI扫描.
  • 结论:

    • 拟议的MRI量化器提供了一种简单而有效的方法,可以从标准加权的MRI图像中获得微结构信息.
    • 这种方法显著提高了广泛可用的MRI数据的定量准确性和临床适用性.
    • 开发的管道有助于将定量MRI分析集成到大规模的临床神经成像中.