Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

64
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
64
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.2K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.2K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

29
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,...
29
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

291
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...
291
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

45
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
45
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

154
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
154

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Threshold Effects, Cognitive Decline, and Longitudinal Changes in White Matter Hyperintensity Volume.

Stroke·2026
Same author

High-resolution mri guided whole mouse brain neuronal cell type atlas using deep learning.

Communications biology·2026
Same author

Subtle language deficits in WAB-recovered patients at 12 months after left-hemisphere stroke.

medRxiv : the preprint server for health sciences·2026
Same author

Blood-Brain Barrier Disruption Before Interhospital Transfer for Thrombectomy and Clinical Outcome.

Neurology·2026
Same author

Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery.

medRxiv : the preprint server for health sciences·2026
Same author

Core Blood-Brain Barrier Disruption in Patients With Large Vessel Occlusion.

Stroke·2026

Related Experiment Video

Updated: Jul 24, 2025

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.2K

Automatic comprehensive radiological reports for clinical acute stroke MRIs.

Chin-Fu Liu1,2, Yi Zhao3, Vivek Yedavalli4

  • 1Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA.

Communications Medicine
|July 10, 2023
PubMed
Summary

This study presents an automated system for analyzing brain MRIs to generate radiological reports for acute ischemic strokes. The AI system provides objective, quantitative stroke information comparable to expert evaluations.

More Related Videos

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.1K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.4K

Related Experiment Videos

Last Updated: Jul 24, 2025

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.2K
Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.1K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.4K

Area of Science:

  • Medical imaging analysis
  • Artificial intelligence in radiology
  • Neurology

Background:

  • Automating time-consuming tasks in medical imaging is crucial.
  • Acute ischemic strokes require quantitative metrics for diagnosis and management.
  • Automated radiological reports offer consistency, objectivity, and accessibility.

Purpose of the Study:

  • To develop a fully automated system for generating radiological reports from brain MRIs.
  • To extract quantitative infarct volume, 3D infarct masks, and affected anatomical regions.
  • To improve the efficiency and objectivity of stroke assessment.

Main Methods:

  • Utilized 1,878 annotated brain MRIs.
  • Employed a deep-learning algorithm for ischemic core segmentation.
  • Integrated parcellation schemes for arterial territories and anatomical structures.

Main Results:

  • The automated system's report generation performance matched expert evaluators.
  • The system provides interpretable AI models with prediction probabilities and feature vector weights.
  • Publicly available, the system runs in real-time with minimal computational needs.

Conclusions:

  • The automated system successfully extracts quantitative, objective, structured, and personalized information from stroke MRIs.
  • This tool supports large-scale processing for clinical and translational research.
  • The system is user-friendly, even for non-expert users.