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

4.4K
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...
4.4K

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

<b>Special Volume of International Symposium of Tropical Fish Ecological Conservation and Biodiversity 2025 (ISTFECB 2025) Part I-Systematics, taxonomy, and species diversity of tropical fishes (Title page)</b>.

Zootaxa·2026
Same author

<b>Special Volume of International Symposium of Tropical Fish EcologicalConservation and Biodiversity 2025 (ISTFECB 2025) Part I-Systematics, taxonomy, and species diversity of tropical fishes (Table of contents)</b>.

Zootaxa·2026
Same author

<b>Preface: Special Volume of International Symposium of Tropical Fish Ecological Conservation and Biodiversity 2025 (ISTFECB 2025) Part I-Systematics, taxonomy, and species diversity of tropical fishes: contributed papers from ISTFECB 2025</b>.

Zootaxa·2026
Same author

<b>A new species of dwarf goby of <i>Trimma</i> (Teleostei: Gobiidae) from Taiping Island, South China Sea</b>.

Zootaxa·2026
Same author

<b>A new species of <i>Luciogobius</i> Gill (Teleostei: Gobiidae) from northern Taiwan</b>.

Zootaxa·2026
Same author

<b>A new wriggler of Eleotrid (Teleostei: Xenisthmidae) from Taiping Island, South China Sea</b>.

Zootaxa·2026

相关实验视频

Updated: Jun 18, 2025

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

15.7K

基于CBCT的合成CT图像生成,使用CBCT指导的肺放射治疗的扩散模型.

Xiaoqian Chen1, Richard L J Qiu1, Junbo Peng1

  • 1Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA.

Medical physics
|August 1, 2024
PubMed
概括

一种新的肺扩散模型 (L-DM) 显著提高了图像引导放射治疗 (IGRT) 的形束计算断层扫描 (CBCT) 图像质量. 该L-DM减少了文物,并提高了Hounsfield单位的准确性,有利于临床应用.

关键词:
在CBCT中,CBCT是CBCT.扩散模型的扩散模型.图像合成 图像合成肺癌是一种肺癌.合成CTCT 合成CT

更多相关视频

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.8K
PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.5K

相关实验视频

Last Updated: Jun 18, 2025

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

15.7K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.8K
PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
10:48

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

9.5K

科学领域:

  • 医疗成像医学成像
  • 辐射瘤学 辐射瘤学
  • 人工智能的人工智能

背景情况:

  • 圆束计算断层扫描 (CBCT) 对于图像导向放射治疗 (IGRT) 是至关重要的,因为它的剂量低,扫描速度快.
  • 然而,CBCT图像存在人工物和降低分辨率,影响治疗的准确性.

研究的目的:

  • 引入一个肺扩散模型 (L-DM) 框架,以提高CBCT图像质量.
  • 目标是减轻人工制造物和提高分辨率,以获得更好的放射治疗.

主要方法:

  • 一个条件扩散模型被训练在 CT (pCT) 和变形 CBCT (dCBCT) 图像对的规划上.
  • 该L-DM合成dCBCT的肺CT图像,使用dCBCT作为一个约束.

主要成果:

  • 在L-DM中,平均绝对误差 (MAE),峰值信号与噪声比 (PSNR),规范交叉相关性 (NCC) 和结构相似性指数测量 (SSIM) 显著改善.
  • 在一个机构数据集中,MAE从101.47下降到37.87HU,PSNR,NCC,SSIM增加.
  • 在公开数据集中也观察到类似的改善,MAE从173.65下降到58.95欧元.

结论:

  • 与预校正CBCT和其他模型相比,L-DM显著提高了合成CT (sCT) 的图像质量.
  • 这种模型可以通过提高HU精度和减少人工物来改进基于CBCT的IGRT和其他临床应用.