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

4.6K
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 III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

30
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...
30
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

219
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
219
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

46
Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
46

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

Soft electrohydrodynamic pumps for fluidic power systems.

Nanoscale·2026
Same author

GAN-generated target reconstruction CT radiomics for prediction of the novel IASLC grading of pulmonary adenocarcinoma.

Journal of thoracic disease·2026
Same author

A narrative review on CT-based evaluation and prediction of lung nodule growth: current status and future directions.

Translational lung cancer research·2026
Same author

The association between early-life antibiotic exposure with gut microbiota, metabolite profiles, neurodevelopment and neuroregeneration.

Experimental neurology·2026
Same author

Deciphering the RSPO3-NFATC1 switch in the bone-cartilage paradox: Genetic liability to osteoporosis protects against osteoarthritis by modulating subchondral bone compliance.

Osteoarthritis and cartilage·2026
Same author

Navigating the Core Challenges of Atropine Therapy in Myopia: A Mechanistic and Clinical Analysis of Dose, Response, and Durability.

Journal of ophthalmology·2026

相关实验视频

Updated: Jul 28, 2025

Author Spotlight: Investigating Early Events and Long-Term Effects of ACL Injuries for Osteoarthritis Progression
06:27

Author Spotlight: Investigating Early Events and Long-Term Effects of ACL Injuries for Osteoarthritis Progression

Published on: September 29, 2023

787

一个基于人工智能的图像质量控制框架,用于膝盖放射.

Hongbiao Sun1, Wenwen Wang1, Fujin He2

  • 1Department of Radiology, Shanghai Changzheng Hospital, Naval Medical University, No.415 Fengyang Road, Huangpu District, Shanghai, 200003, China.

Journal of digital imaging
|June 2, 2023
PubMed
概括

一个人工智能 (AI) 模型自动化了膝盖放射图质量控制 (QC),与临床医生的准确度相匹配,同时减少了测量时间. 这种AI工具为临床实践中的QC提供了更快,更客观的方法.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.图像质量控制 图像质量控制膝盖平面的X射线图.

更多相关视频

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.1K
Micro-Computed Tomography Analysis of the Knee in Aged Dunkin-Hartley Guinea Pigs after Intra Articular Injection
07:10

Micro-Computed Tomography Analysis of the Knee in Aged Dunkin-Hartley Guinea Pigs after Intra Articular Injection

Published on: August 2, 2024

402

相关实验视频

Last Updated: Jul 28, 2025

Author Spotlight: Investigating Early Events and Long-Term Effects of ACL Injuries for Osteoarthritis Progression
06:27

Author Spotlight: Investigating Early Events and Long-Term Effects of ACL Injuries for Osteoarthritis Progression

Published on: September 29, 2023

787
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

3.1K
Micro-Computed Tomography Analysis of the Knee in Aged Dunkin-Hartley Guinea Pigs after Intra Articular Injection
07:10

Micro-Computed Tomography Analysis of the Knee in Aged Dunkin-Hartley Guinea Pigs after Intra Articular Injection

Published on: August 2, 2024

402

科学领域:

  • 放射学 放射学是指放射学
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 膝盖X光片的手动质量控制 (QC) 是主观的,耗时的.
  • 精确的QC对于从X光片中诊断膝盖疾病至关重要.

研究的目的:

  • 开发一个自动化的人工智能模型,用于膝盖X射线 QC.
  • 与临床医生相比,评估AI模型的性能.

主要方法:

  • 开发了一种高分辨率网络 (HR-Net) AI模型,以识别膝盖放射图中的关键点.
  • 用几何计算来推导QC标准:AP/LAT重叠比率和LAT曲角度.
  • 该模型在大量膝盖放射图数据集上进行了训练和验证,包括外部验证.

主要成果:

  • 在AI模型中,在内部和外部验证队列中,AP/LAT骨头重叠和LAT膝盖屈曲角度的高类内一致性系数 (ICC) 与临床医生相比较.
  • 在AI模型和临床医生之间,在三个QC标准中没有发现显著差异.
  • 与临床医生相比,AI模型显著减少了测量时间.

结论:

  • 这种基于人工智能的模型的性能与临床医生在膝盖X射线QC中的表现相似.
  • 人工智能模型为临床QC提供了一个更快,潜在的更客观的替代方案.
  • 这种人工智能工具显示出提高临床实践效率的巨大潜力.