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

Prospective Study of Multiparametric Renal MRI for CKD Progression (AFiRM).

Kidney international reports·2026
Same author

Structure Is Information: Structural Identifiability Mappings for Machine Learning With Partially Observed Dynamical Systems.

IEEE transactions on cybernetics·2026
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Alzheimer's Imaging Consortium.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

A resource for development and comparison of multimodal brain 3 T MRI harmonisation approaches.

Imaging neuroscience (Cambridge, Mass.)·2025
Same journal

Evidence for progressive neurodegeneration in iatrogenic cerebral amyloid angiopathy.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Human brain connectome profiles mediate the relationship between pathology burden and clinical phenotypes in Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Kat5 cKO mouse replicates biological domain signatures associated with Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Evaluation of CSF and plasma tau species as fluid surrogate candidates for tau PET in prodromal to moderate Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Associations of self-reported obstructive sleep apnea with cognition and dementia risk in cognitively unimpaired middle-aged adults.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Inflammation profiles in Alzheimer's disease relate to cognition and neurodegeneration.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
查看所有相关文章

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

Armen Bodossian1, Avital Dell'Ariccia1, Logan Xin Zhang1

  • 1Quantified Imaging, London, London, UK.

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。

动脉旋转标记 (ASL) 磁力共振扫描能够准确诊断阿尔茨海默病 (AD) 并预测其进展. 这种非侵入性技术在早期发现和监测AD方面表现有前途,优于以前的方法.

更多相关视频

Visualization of Amyloid β 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 β 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.
  • 放射学 放射学是一门学科.
  • 生物医学工程 生物医学工程

背景情况:

  • 动脉旋转标记 (ASL) 核磁共振可实现脑血流 (CBF) 的非侵入性测量.
  • 在ASLMRI上的区域性低 perfusion与阿尔茨海默病 (AD) 进展有关,在缩变得明显之前.
  • 这项研究调查了ASL在诊断AD和跟踪其进展方面的实用性.

研究的目的:

  • 评估ASLMRI对阿尔茨海默病 (AD) 和轻度认知障碍 (MCI) 的诊断准确性.
  • 评估ASLMRI在预测MCI转化为AD方面的能力.
  • 为了比较ASLMRI的性能与AD评估的其他成像方法.

主要方法:

  • 利用了阿尔茨海默病神经成像计划 (ADNI-3) 数据的子集,并使用了诊断标签 (认知正常,MCI,AD).
  • 使用 qasl 管道处理的 ASL 图像生成校准的 CBF 地图.
  • 训练有素的支持向量机 (SVM) 分类器使用基于ROI的CBF,共变量和扫描器类型,由ANOVA驱动的特征选择.

主要成果:

  • 分类器在区分AD和认知正常 (CN) 或MCI (AUC分别为0.957和0.936) 方面取得了很高的准确性,具有很高的特异性 (0.98).
  • 在CN和MCI之间进行分类的性能较差 (AUC为0.702).
  • 在ASLMRI中,MCI转化为AD的预测能力强 (AUC>0.9在所有时间范围内).

结论:

  • 通过ASLMRI测量,可以有效预测阿尔茨海默病的临床诊断和疾病进展.
  • 在这项研究中,ASL MRI的性能超过了PET和以前的ASL分类器.
  • ASLMRI代表了阿尔茨海默病诊断和进展监测的有希望的非侵入性工具.