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相关概念视频

Computed Tomography01:10

Computed Tomography

4.6K
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...
4.6K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

275
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
275
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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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...
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相关实验视频

Updated: Jul 17, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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OSCNet:用于CT金属人工物学习的定向共享卷积网络.

Hong Wang, Qi Xie, Dong Zeng

    IEEE transactions on medical imaging
    |September 1, 2023
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了OSCNet,这是一种新的深度学习方法,用于X射线计算机断层扫描 (CT) 成像中的金属工件减少. OSCNet有效地去除金属植入物造成的文物,提高诊断准确度.

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    Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
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    Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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    相关实验视频

    Last Updated: Jul 17, 2025

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    Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
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    Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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    Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

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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
    • 人工智能的人工智能

    背景情况:

    • 在X射线计算机断层扫描 (CT) 中的金属工件阻碍了准确的疾病诊断和图像引导干预.
    • 现有的金属工件减少 (MAR) 深度学习方法往往无法充分利用这些工件的物理特性.

    研究的目的:

    • 开发一种新的深度学习框架,用于CT成像中的有效金属工件减少 (MAR).
    • 为了提高性能,将先前对文物特征的知识纳入重建过程中.

    主要方法:

    • 提出了一个方向共享卷积表示机制来建模金属文物的旋转对称模式.
    • 利用基于富里埃数列扩展的过器参数化,用于工件建模和从身体组织中分离.
    • 使用深度展开技术开发了方向共享卷积网络 (OSCNet).
    • 引入了一个动态卷积子网络,以提高工件学习灵活性,从而导致OSCNet+.

    主要成果:

    • 在合成和临床CT数据集上,OSCNet和OSCNet+在减少金属文物方面表现出显著的有效性.
    • 提出的方法成功地将金属文物从身体组织中分离出来,提高了图像质量.
    • 由于其灵活的工件学习能力,OSCNet+显示了改进的泛化性能.

    结论:

    • 建议的定向共享卷积机制和动态卷积表示对于CT的金属工件减少是有效的.
    • 在金属植入物存在的情况下,OSCNet和OSCNet+为提高CT成像的质量和可靠性提供了一个有前途的解决方案.