Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Computed Tomography01:10

Computed Tomography

4.5K
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...
4.5K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

12
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...
12

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Synthesis, Characterization, and Photovoltaic Performance of Porphyrin-Fullerene Dyads.

The Journal of organic chemistry·2026
Same author

Mechanosynthesis of [60]Fullerene-Fused Tetrahydropyridines with Magnesium Nitride as the Nitrogen Source.

Organic letters·2026
Same author

The current and future landscape of AI foundation models for cancer management.

Nature communications·2026
Same author

ZS4D: Zero-Shot Self-Similarity-Steered Denoiser for Volumetric Photon-Counting CT.

IEEE transactions on radiation and plasma medical sciences·2026
Same author

Triflic Anhydride-Mediated Cycloacylation of [60]Fullerene with 1-Naphthoic Acids: Synthesis and Derivatization of [60]Fullerene-Fused Dihydrophenalenones.

Organic letters·2026
Same author

Dual-Domain Denoising Diffusion Probabilistic Model for Metal Artifact Reduction.

IEEE transactions on radiation and plasma medical sciences·2026
Same journal

Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models.

ArXiv·2026
Same journal

Mechanistic mathematical model of the in vitro infection dynamics of Bunyamwera and Batai viruses including MOI-dependent shortening of the eclipse phase.

ArXiv·2026
Same journal

AI-Driven Lumped-Element Modeling of Human Respiratory System for Studying Voice Mechanics.

ArXiv·2026
Same journal

Beyond Algorithms: Conceptual Innovation in Medical Imaging AI.

ArXiv·2026
Same journal

Feynman Kac Reweighted Schrödinger Bridge Matching for Surface-Based Tau PET Harmonization.

ArXiv·2026
Same journal

Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3.

ArXiv·2026
查看所有相关文章

相关实验视频

Updated: Jul 12, 2025

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

12.4K

扩散前规范化代重建用于低剂量CTCT.

Wenjun Xia, Yongyi Shi, Chuang Niu

    ArXiv
    |October 24, 2023
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的CT图像重建方法,使用扩散模型和Nesterov加速. 它可以在减少辐射暴露的情况下获得高清图像,从而提高患者的安全性.

    更多相关视频

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
    10:44

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

    Published on: June 21, 2024

    516
    3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
    07:01

    3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

    Published on: October 24, 2019

    9.9K

    相关实验视频

    Last Updated: Jul 12, 2025

    Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
    12:24

    Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

    Published on: July 17, 2012

    12.4K
    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
    10:44

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

    Published on: June 21, 2024

    516
    3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
    07:01

    3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

    Published on: October 24, 2019

    9.9K

    科学领域:

    • 医疗成像医学成像
    • 计算成像技术的成像
    • 放射学中的人工智能

    背景情况:

    • 计算机断层扫描 (CT) 将患者暴露在电离辐射中,需要剂量减少策略.
    • 降低X射线光子计数或降低采样投影视图可以减少剂量,但往往会降低图像质量.

    研究的目的:

    • 开发一种先进的代重建算法,用于高清CT成像,最小化辐射剂量.
    • 利用无声扩散概率模型 (DDPM) 来提高低剂量CT的图像质量.

    主要方法:

    • 开发了一种代重建算法,通过从DDPM获得的扩散先验来规范.
    • 该算法将数据保真与DDPM的生成能力在无监督框架中集成在一起.
    • 纳斯特罗夫动量加速被纳入,以提高扩散采样过程的效率.

    主要成果:

    • 提出的方法成功地将扩散模型与重建技术融合在一起,以获得更优质的图像恢复.
    • 实验结果表明,该算法能够产生高分辨率CT图像.
    • 这种方法可以显著减少辐射剂量,而不会影响诊断图像质量.

    结论:

    • 开发的代重建算法为低剂量CT成像提供了一个有希望的解决方案.
    • 将DDPM与Nesterov加速集成为高质量,低辐射CT重建提供了一条有效的途径.
    • 这种方法有可能提高CT检查中的患者安全性.