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

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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...

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

MLGF-GAN: a multi-level local-global feature fusion GAN for OCT image super-resolution.

Biomedical physics & engineering express·2025
Same author

Super-resolution reconstruction of OCT images based on frequency and spatial information in adversarial neural networks.

Physics in medicine and biology·2025
Same author

Robust lumen segmentation based on temporal residual U-Net using spatiotemporal features in intravascular optical coherence tomography images.

Journal of biomedical optics·2025
Same author

Single-shot 8-frame direct imaging with an effective frame rate up to 40 Tfps and a two-dimensional space-bandwidth-product beyond 65,500.

Optics express·2025
Same author

A universal and versatile terahertz field manipulation mechanism by manipulating near-infrared phases with a dislocation scheme.

Nature communications·2025
Same author

Integrating Radiative Cooling and Solar Heating for On-Demand Thermal Management.

Langmuir : the ACS journal of surfaces and colloids·2025

相关实验视频

Updated: Jul 11, 2026

Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model
09:46

Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model

Published on: September 14, 2009

13.9K

基于多重注意力卷积模型的光学连贯性断层扫描中的自动支架支架检测.

Tingting Han1, Wei Xia1, Kuiyuan Tao2

  • 1Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin 300387, People's Republic of China.

Physics in medicine and biology
|November 30, 2023
PubMed
概括
此摘要是机器生成的。

一个新的深度学习模型在血管内光学连贯性断层扫描 (OCT) 图像中自动检测支架支架. 这一进步显著提高了穿皮冠状动脉干预指导的效率和准确性.

关键词:
注意力机制注意力机制深度学习是一种深度学习.血管内光学连贯性断层扫描 血管内光学连贯性断层扫描支架 支架 检测 检测 检测

更多相关视频

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
12:54

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

3.3K
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

3.9K

相关实验视频

Last Updated: Jul 11, 2026

Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model
09:46

Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model

Published on: September 14, 2009

13.9K
Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
12:54

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

3.3K
Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

3.9K

科学领域:

  • 医疗成像医学成像
  • 心血管干预 心血管干预
  • 人工智能在医学中的应用

背景情况:

  • 血管内光学连贯性断层扫描 (OCT) 对于评估穿皮冠状动脉干预期间的支架放置至关重要.
  • 手动分析用于标记支架的OCT图像是耗时和资源密集的,因为支架的密度和小尺寸.

研究的目的:

  • 开发和验证一种自动化方法,用于检测OCT图像中的支架支架.
  • 提高在临床应用中的定量分析的效率和准确性.

主要方法:

  • 一个新的多重注意力卷积模型被设计用于自动检测支架支架.
  • 该模型包含多个注意力机制,用于增强特征提取和融合.
  • 整合了多个 anchor 框架,以提高小支架支架的精确检测.

主要成果:

  • 该模型实现了高精度 (0.9790) 和回忆 (0.9541) 在一个数据集的4625培训和1156测试OCT框架.
  • 检测速度很快,每张图像25.2毫秒,优于主流卷积模型.
  • 该模型在各种成像条件下表现出强大的性能,并实现了清晰的3D支架重建.

结论:

  • 拟议的自动化模型大大减少了手动分析时间和医疗资源分配.
  • 微小而密集的支架支架的检测效率提高,有助于OCT定量分析的临床应用.
  • 这项技术支持通过皮肤进行冠状动脉干预的更有效的指导.