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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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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
910
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

876
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
876

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相关实验视频

Updated: Apr 24, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
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Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

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阶段逐阶段的波段优化精细化扩散模型用于稀疏视图CT重建.

Kai Xu, Shiyu Lu, Bin Huang

    IEEE transactions on medical imaging
    |January 18, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了用于稀疏视图CT重建的阶段性波纹优化精细扩散 (SWORD) 模型. 斯沃德通过利用波形变换提高图像质量来提高扩散模型的稳定性和性能.

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    Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
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    Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

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    Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
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    相关实验视频

    Last Updated: Apr 24, 2026

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
    11:00

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

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    Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
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    Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

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    科学领域:

    • 医疗成像医学成像
    • 计算成像技术的成像
    • 信号处理 信号处理

    背景情况:

    • 稀疏视图CT重建由于数据有限而带来挑战,往往导致图像文物和诊断精度降低.
    • 当前用于CT重建的扩散模型面临训练不稳定性和局部最小值收问题,当仅在sinogram或图像领域运行时.

    研究的目的:

    • 为稀疏视图CT重建开发更强大,更稳定的扩散模型.
    • 为了利用波形变换的好处,增强特征表示和模型优化.

    主要方法:

    • 开发了阶段性波纹优化精炼扩散 (SWORD) 模型,将低频和高频生成模型集成到统一的数学框架中.
    • 该模型利用波段分解来处理频率组件,通过避免在sinogram上直接操作来确保稳定的训练.
    • 一个三个阶段的优化程序 (低频生成,高频精炼,域转换) 指导重建过程.

    主要成果:

    • 与现有的最先进的方法相比,SWORD模型在稀疏视图CT重建中表现出卓越的性能.
    • 定量和定性实验结果证实了拟议方法的有效性和稳定性.
    • 使用波形变换作为稀疏性先验显著提高了扩散模型的稳定性和收性.

    结论:

    • SWORD模型为稀疏视图CT重建提供了创新和有效的解决方案,解决了传统扩散模型的局限性.
    • 在分阶段优化框架中整合波形变换可以提高模型稳定性和重建保真性.
    • 拟议的方法代表了CT重建计算成像领域的重大进步.