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

Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

1.6K
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
1.6K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

251
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...
251
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

212
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
212
Brain Imaging01:14

Brain Imaging

629
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
629
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

460
Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
460
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

758
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
758

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

Hydrogen evolution and dynamics in hydrogel electrochemical cells for ischemia-reperfusion therapy.

Nature chemical engineering·2026
Same author

Response to "Evaluating Multimodal Large Language Models in Neuroradiology: Methodological Considerations".

Korean journal of radiology·2026
Same author

Erratum: Evaluating the Accuracy and Diagnostic Reasoning of Multimodal Large Language Models in Interpreting Neuroradiology Cases From <i>RadioGraphics</i>.

Korean journal of radiology·2026
Same author

Mineral-originated bioelectronics for inhibition via lithium electrochemistry.

Nature materials·2026
Same author

Insufficient reporting quality in large language model studies in the field of radiology.

Insights into imaging·2026
Same author

Sex-Based Differences in Disease Burden and Phenotype in CADASIL: A Multicenter Study of 368 Korean Patients.

Neurology. Genetics·2026

相关实验视频

Updated: Jan 8, 2026

Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
05:17

Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451

Published on: April 18, 2025

751

阿尔茨海默氏症成像联盟

Minwoo Han1,2, Saehyun Kim2, Wooseok Jung2

  • 1University of Ulsan College of Medicine, Seoul, Seoul, Korea, Republic of (South).

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 23, 2025
PubMed
概括
此摘要是机器生成的。

开发了一个深度学习模型来检测缺口,这些缺口与认知能力下降有关. 该模型在识别MRI扫描中的缺陷方面表现有希望,即使在不平衡的数据集中也是如此.

更多相关视频

Visualization of Amyloid &#946; Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry
09:31

Visualization of Amyloid β Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry

Published on: March 7, 2019

11.0K
Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
12:50

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

40.8K

相关实验视频

Last Updated: Jan 8, 2026

Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
05:17

Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451

Published on: April 18, 2025

751
Visualization of Amyloid &#946; Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry
09:31

Visualization of Amyloid β Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry

Published on: March 7, 2019

11.0K
Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
12:50

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

40.8K

科学领域:

  • 神经成像是一种神经成像.
  • 人工智能的人工智能
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 缺口被认为是血管起源的,与认知衰退和粉样蛋白相关的成像异常 (ARIA) 有关.
  • 准确的缺口检测对于理解神经系统疾病至关重要.
  • 现有的方法面临着不平衡的数据集和区分缺口与模仿特征的挑战.

研究的目的:

  • 开发一种深度学习模型,用于自动细分缺口.
  • 为了加强差距和差距模拟特征之间的区别.
  • 为了应对在缺口检测中不平衡数据集的挑战.

主要方法:

  • 使用了427张T2-FLAIRMRI图像用于模型开发.
  • 采用了Attention U-Net架构,使用受监督对比学习预训练了一个编码器.
  • 使用AFROC分析评估的实例级检测和通过AUC的患者级结果.

主要成果:

  • 该模型在实例级缺口检测方面获得了0.726的优点 (FOM).
  • 缺口检测的患者水平AUC为0.810.
  • 在识别不同缺口数量的患者时表现出适度的灵敏度.

结论:

  • 深度学习方法有效地检测不平衡数据集中的缺陷.
  • 监督对比学习预训练提高了模型的性能.
  • 未来的工作包括区域本地化和外部验证.