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

Computed Tomography01:10

Computed Tomography

7.9K
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...
7.9K
Brain Imaging01:14

Brain Imaging

623
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...
623
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

248
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...
248

You might also read

Related Articles

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

Sort by
Same author

Artificial intelligence-driven radiomics: developing valuable radiomics signatures with the use of artificial intelligence.

BJR artificial intelligence·2026
Same author

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.

Diagnostic and interventional radiology (Ankara, Turkey)·2026
Same author

Explainable Radiomics-Based Model for Automatic Image Quality Assessment in Breast Cancer DCE MRI Data.

Journal of imaging·2025
Same author

Multifaceted Preprocessing Optimization for Post-Mortem Radiomics Analysis: A Pilot Study on Forensic Age Estimation Using Proximal Femur Radiomics.

Journal of imaging informatics in medicine·2025
Same author

The Hidden Challenge: Building Datasets for Artificial Intelligence-Based Intracranial Pressure Prediction.

World neurosurgery·2025
Same author

A methodological approach for the comparison of CT systems in terms of radiation dose and image quality.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2025
Same journal

Microsurgical Evacuation Efficacy and Functional Outcomes in Spontaneous Intracerebral Hemorrhage by Type of Antithrombotic Therapy.

Neurosurgery·2026
Same journal

Neurosurgeons Are Essential in the Interdisciplinary Care of Patients With Brain Metastasis.

Neurosurgery·2026
Same journal

Performance of Risk Scores in Predicting Intracranial Aneurysm Instability.

Neurosurgery·2026
Same journal

Electric-Scooters: An Emerging Source of High-Severity Pediatric Head Trauma.

Neurosurgery·2026
Same journal

Survival After Surgery for Spinal Osteosarcoma and the Role of Chemotherapy and Treatment Sequencing: A National Cohort Multivariable Analysis.

Neurosurgery·2026
Same journal

Safety and Efficacy of 3-Month Versus 6-Month Duration of Dual Antiplatelet Therapy in Pipeline Embolization Treatment of Intracranial Aneurysms.

Neurosurgery·2026
See all related articles

Related Experiment Video

Updated: Jan 6, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.4K

In Reply: Predicting Intracranial Pressure Levels: A Deep Learning Approach Using Computed Tomography Brain Scans

Dimitrios Theodoropoulos1, Eleftherios Trivizakis2, Kostas Marias2,3

  • 1School of Medicine, University of Crete, Heraklion , Greece.

Neurosurgery
|October 27, 2025
PubMed
Summary

No abstract available in PubMed .

More Related Videos

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients
05:01

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

Published on: October 17, 2017

7.4K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K

Related Experiment Videos

Last Updated: Jan 6, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.4K
A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients
05:01

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

Published on: October 17, 2017

7.4K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K