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

Brain Imaging01:14

Brain Imaging

779
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...
779
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

699
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...
699
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.0K
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...
10.0K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

973
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...
973

You might also read

Related Articles

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

Sort by
Same author

Adaptive therapy and its challenges.

Evolution, medicine, and public health·2026
Same author

Integrated Genomic and Epigenomic Analysis Reveals Epigenetic Plasticity in Disease Progression and Multidrug Resistance in Multiple Myeloma.

Cancer research·2026
Same author

Age identifies cancer drivers hidden within the genome.

Nature genetics·2026
Same author

Multifactorial sheltering in peristromal niches shapes in vivo responses of lung cancers to targeted therapies.

Nature communications·2026
Same author

Preoperative CT-Based Habitat Radiomics Classifiers Predict Recurrence in Non-Small Cell Lung Cancer.

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

Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging.

PLOS digital health·2026
Same journal

CT Evaluation of Osseous Trauma at the Craniocervical Junction: A Pattern-Based Overview.

AJNR. American journal of neuroradiology·2026
Same journal

Comprehensive Structural MRI Phenotyping in <i>Oligophrenin 1-</i>Related Disorder Reveals Characteristic Brain Malformations.

AJNR. American journal of neuroradiology·2026
Same journal

ASNR-ESNR White Paper on Sustainability in Neuroradiology.

AJNR. American journal of neuroradiology·2026
Same journal

Intracranial Atherosclerotic Disease Distribution Across Circle of Willis Segments: Insights from CREST-H.

AJNR. American journal of neuroradiology·2026
Same journal

Regional Cerebral Blood Flow Patterns on ASL in Subacute Sclerosing Panencephalitis: Quantitative Analysis and Clinical Correlation.

AJNR. American journal of neuroradiology·2026
Same journal

Improved Diagnostic Certainty of Photon-Counting CT Myelography Compared with Energy-Integrating CT for CSF-Venous Fistulas in Spontaneous Intracranial Hypotension.

AJNR. American journal of neuroradiology·2026
See all related articles

Related Experiment Video

Updated: Feb 21, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K

Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.

M Zhou1, J Scott2, B Chaudhury2

  • 1From the Stanford Center for Biomedical Informatic Research (M.Z., O.G.).

AJNR. American Journal of Neuroradiology
|October 7, 2017
PubMed
Summary
This summary is machine-generated.

Radiomics uses computational analysis of medical images to aid cancer diagnosis and treatment. Further development is needed to integrate these quantitative imaging features into clinical practice for better patient outcomes.

More Related Videos

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.8K

Related Experiment Videos

Last Updated: Feb 21, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.8K

Area of Science:

  • Radiology
  • Medical Imaging
  • Computational Pathology

Background:

  • Radiomics involves extracting quantitative features from radiographic images.
  • These features can inform cancer diagnosis, prognosis, and therapy response.
  • Challenges exist in optimizing feature extraction and clinical integration.

Purpose of the Study:

  • To review radiomics studies, focusing on brain tumors.
  • To bridge computational models with radiologic interpretation.
  • To highlight clinical insights from quantitative imaging features.

Main Methods:

  • Cross-disciplinary review of radiomics literature.
  • Analysis of computational models (computer vision, machine learning) in brain tumor imaging.
  • Outline of feature extraction and prediction strategies.

Main Results:

  • Radiomics offers novel clinical insights by linking quantitative image features to clinical data.
  • Current strategies for feature extraction and prediction are presented.
  • Machine learning challenges and data opportunities are discussed.

Conclusions:

  • Radiomics holds significant potential for improving clinical decision-making in oncology.
  • Further methodologic development and clinical validation are crucial.
  • Integrating radiomics with biologic and radiologic properties is key for clinical utility.