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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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

Updated: Jul 10, 2025

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

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快速可靠的基于分数的生成模型,用于并行MRI.

Ruizhi Hou, Fang Li, Tieyong Zeng

    IEEE transactions on neural networks and learning systems
    |November 22, 2023
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种快速可靠的基于分数的生成模型 (SGM) 用于磁共振成像 (MRI) 重建. 这种新方法显著减少了生成时间,并通过利用深层集体消极和空间自我一致性来提高图像质量.

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    How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging
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    科学领域:

    • 医疗成像医学成像
    • 人工智能的人工智能
    • 计算科学 计算科学

    背景情况:

    • 基于分数的生成模型 (SGM) 显示出高质量的磁共振成像 (MRI) 重建的前景.
    • 现有的SGM需要许多图像生成步骤,并且不能充分利用空间冗余.

    研究的目的:

    • 开发一种更快,更可靠的SGM用于MRI重建.
    • 解决当前SGM在速度和空间信息利用方面的局限性.

    主要方法:

    • 提出了一种快速可靠的SGM (FRSGM),结合了深层集体消毒器 (DED).
    • 引入了一个空间自适应自一致性 (SASC) 术语用于空间数据规范化.
    • 在压缩传感 (CS) -MRI重建中采用了乘数 (ADMM) 的交替方向方法.

    主要成果:

    • 与现有的基于SGM的方法相比,拟议的FRSGM显著加速了MRI重建.
    • 证明了算法的趋同到一个唯一的固定点.
    • 通过DEDs和SASC术语展示了改进的泛化能力.

    结论:

    • FRSGM为MRI重建提供了可靠和高效的解决方案.
    • DEDs和SASC术语的组合可以提高算法性能和通用性.
    • 该方法提供了固定点收保证,利用空间冗余来改善结果.