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相关概念视频

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
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X-ray Imaging01:24

X-ray Imaging

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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

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X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
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相关实验视频

Updated: Mar 4, 2026

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
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Published on: October 24, 2019

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SkeDiff:使用二维X射线进行骨3DCT扩散重建.

Yuan Gao, Rongjun Ge, Yunbo Gu

    IEEE journal of biomedical and health informatics
    |March 2, 2026
    PubMed
    概括
    此摘要是机器生成的。

    SkeDiff使用一种新的扩散模型从二维X射线中重建3DCT骨图像. 这种先进的算法通过改进标准X射线数据的3D可视化来增强骨科诊断.

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    Last Updated: Mar 4, 2026

    3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
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    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
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    Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

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    科学领域:

    • 医疗成像医学成像
    • 计算机视觉 计算机视觉
    • 整形外科 整形外科 整形外科

    背景情况:

    • 2DX射线成像是可访问的,但在可视化骨结构方面是有限的.
    • 3DCT成像提供了全面的可视化,但涉及更高的辐射暴露.
    • 弥合2DX射线和3DCT之间的差距对于改善骨科诊断至关重要.

    研究的目的:

    • 开发SkeDiff,一种用于从二维X射线投影中重建3DCT图像的算法.
    • 为了增强用于骨科诊断的3D骨可视化.
    • 整合脊椎病分类到3D重建过程中.

    主要方法:

    • SkeDiff使用一个3D扩散模型 ($DM_{3DL}$),由通过跨维条件编码器 ($E_{Cond}$) 提取的2D先验指导.
    • 该编码器采用CNN-Mamba混合架构,用于高级特征提取.
    • 使用Kolmogorov-Arnold网络 (KAN) 的3D UKAN扩散骨干可以改善特征表示.
    • 一个基于扩散的脊柱形脊柱病分类器 ($D_{SC}$) 被纳入用于同时分类.

    主要成果:

    • SkeDiff成功地从直角的2DX射线投影中重建了骨的3DCT图像.
    • 该算法在脊柱,关节和膝盖数据集上的现有方法相比显示出更高的性能.
    • 在3D重建过程中,集成的脊椎形分类器有效地运行.

    结论:

    • SkeDiff提供了一个有前途的解决方案,用于从二维X射线生成高质量的3D骨重建.
    • 该方法有可能提高骨科诊断能力.
    • 这种方法可以带来更全面,更有效的骨成像分析.