Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

Computed Tomography

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...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

Neurodevelopment in small-for-gestational-age preterm infants: distinguishing the impact of birthweight and gestational age in a cohort study.

Journal of perinatology : official journal of the California Perinatal Association·2026

Same author

Care of neonates following in-utero growth restriction: A prospective cohort study exploring neonatal morbidity.

Journal of perinatology : official journal of the California Perinatal Association·2025

Same author

When not hitting your sales target is 'the end of the world': Examining the effects of rational emotive behaviour therapy on the irrational beliefs and emotional reactivity of UK-based sales professionals.

Stress and health : journal of the International Society for the Investigation of Stress·2024

Same author

Neurodevelopmental outcomes in children and adults with Fetal Valproate Spectrum Disorder: A contribution from the ConcePTION project.

Neurotoxicology and teratology·2023

Same author

Publisher Correction: Brain charts for the human lifespan.

Nature·2022

Same author

Brain charts for the human lifespan.

Nature·2022

Search research articles

Related Experiment Video

Updated: May 17, 2026

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

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

Published on: April 13, 2013

Automatic intracranial space segmentation for computed tomography brain images.

C Adamson¹, A C Da Costa, R Beare

¹Developmental Imaging, Murdoch Childrens Research Institute, Parkville, Melbourne, Australia.

Journal of Digital Imaging

|November 7, 2012

Summary

We developed an automated method to segment intracranial space in computed tomography images for craniofacial disorder assessment. This technique accurately quanties shape changes after corrective surgery.

More Related Videos

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Published on: July 14, 2020

Related Experiment Videos

Last Updated: May 17, 2026

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

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

Published on: April 13, 2013

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Published on: July 14, 2020

Area of Science:

Medical imaging
Computational anatomy
Surgical planning

Background:

Craniofacial disorders require accurate diagnosis via computed tomography (CT).
Quantitative assessment of surgical outcomes is crucial for craniofacial reconstruction.
Existing methods may struggle with low-contrast boundaries in CT scans.

Purpose of the Study:

To present an automated method for intracranial space segmentation.
To enable quantitative assessment of shape changes following craniofacial surgery.
To improve the accuracy and consistency of segmentation in CT imaging.

Main Methods:

A two-stage segmentation approach.
Initial segmentation using mathematical morphology operations.
Refinement using a level-set-based method for smooth boundary completion.

Main Results:

The automated method demonstrated consistent and accurate results.
Successfully segmented intracranial space in a dataset of 43 images.
Effectively handled low-contrast boundaries characteristic of craniofacial CT scans.

Conclusions:

The developed method provides a reliable tool for quantitative analysis of craniofacial surgery outcomes.
Automated intracranial segmentation can enhance the assessment of skull shape restoration.
This technique offers potential for improved clinical decision-making in craniofacial reconstruction.