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

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.8K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.8K
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

2.8K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
2.8K

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

Towards quality control and harmonization of deep learning CT radiomics: An in-silico feasibility study with virtual colorectal liver metastases.

Medical physics·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 journal

Impact of DOI Capability on Detector Performance: A Comparative Study of DOI and Non-DOI Detectors for High-Resolution and Sensitivity Organ-Specific PET Inserts.

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

Evaluation of a PET Insert for Trimodal Imaging: A Step Toward PET/MRI-Guided Focused Ultrasound.

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

CHEMONO: a Cherenkov-Only Monolithic Detector for PGI in Proton Range Verification.

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

A Virtual Clinical Trial to Detect Changes in Tumor Uptake with PET using Lesion Embedding.

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

Quantitative evaluation of spatially-variant deformations recovered by deep learning on clinical-like breast lesions.

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

Impact of detector parameters and image resolution modeling on dedicated brain PET imaging.

IEEE transactions on radiation and plasma medical sciences·2026
查看所有相关文章

相关实验视频

Updated: Mar 10, 2026

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

10.4K

双域否定扩散概率模型用于金属人工物减少.

Wenjun Xia1, Chuang Niu1, Grigorios M Karageorgos2

  • 1Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA.

IEEE transactions on radiation and plasma medical sciences
|March 9, 2026
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种新的金属工件减少 (MAR) 算法,用于计算机断层扫描 (CT),使用双域无声扩散概率模型 (DDPM). 该方法有效地去除金属工件,提高诊断图像质量.

关键词:
计算机断层扫描 (CT) 扫描无效的扩散概率模型 (DDPM).这是一个双域.金属工艺品的减少减少

更多相关视频

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

9.1K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

29.4K

相关实验视频

Last Updated: Mar 10, 2026

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

10.4K
Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

9.1K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

29.4K

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 图像处理 图像处理

背景情况:

  • 计算机断层扫描 (CT) 图像中的金属工件阻碍了诊断和治疗计划.
  • 有效的金属工件减少 (MAR) 对于临床CT应用至关重要.
  • 现有的方法往往在删除文物和维护图像质量方面扎.

研究的目的:

  • 开发和评估一种新的MAR算法,使用双域无效的扩散概率模型 (DDPM).
  • 为了提高CT图像的质量,这些图像被金属文物降解.
  • 为了解决在医学成像中的通用DDPM应用中常见的幻觉问题.

主要方法:

  • 预处理使用线性插值 (LI) 和卷积神经网络 (CNN) 进行初始再投影.
  • 采用两个专门的DDPM网络:一个用于synogram合成,另一个用于图像域优化.
  • 双域方法结合sinogram和图像域处理,以进行全面的文物删除.

主要成果:

  • 音符域DDPM成功重建了高质量的音符.
  • 图像域DDPM有效地消除了剩余的工件,大大提高了整体图像质量.
  • 拟议的算法与通用DDPM相比显示出更高的性能,减轻了幻觉问题.

结论:

  • 基于双域DDPM的MAR算法在CT图像质量上提供了显著的改进.
  • 这种方法通过克服局限性来提高DDPM在医学成像中的临床适用性.
  • 在sinogram和图像领域,专用DDPM的协同使用是其成功的关键.