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 Experiment Videos

A modified color display for computed tomography.

J M Bramble1, R Laws, M F Insana

  • 1Department of Diagnostic Radiology, University of Kansas Medical Center, Kansas City.

Journal of Digital Imaging
|November 1, 1988
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Understanding the reach of an evidence-based public health intervention to optimise nutrition and movement behaviour at scale: The INFANT Program.

Australian and New Zealand journal of public health·2025
Same author

Rapid weight gain during infancy and subsequent adiposity: a systematic review and meta-analysis of evidence.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2017
Same author

Translating an early childhood obesity prevention program for local community implementation: a case study of the Melbourne InFANT Program.

BMC public health·2016
Same author

Indentation Analysis of Biphasic Viscoelastic Hydrogels.

Mechanics of materials : an international journal·2015
Same author

Obesity prevention in early life: an opportunity to better support the role of Maternal and Child Health Nurses in Australia.

BMC nursing·2015
Same author

Efficacy of chlorhexidine varnish for the prevention of adult caries: a randomized trial.

Journal of dental research·2011
Same journal

Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imaging·2023
Same journal

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.

Journal of digital imaging·2023
Same journal

DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation.

Journal of digital imaging·2023
Same journal

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.

Journal of digital imaging·2023
Same journal

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Journal of digital imaging·2023
Same journal

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.

Journal of digital imaging·2023
See all related articles

A new algorithm assigns color to computed tomography (CT) scans, improving soft tissue tumor detection and potentially reducing costs. This method creates anatomical illustrations for better visualization.

Area of Science:

  • Medical Imaging
  • Radiology
  • Computer Vision

Background:

  • Computed tomography (CT) scans are crucial for medical diagnosis.
  • Current CT imaging often relies on multiple monochrome images, limiting comprehensive visualization.
  • Enhancing the perception of anatomical structures in CT is an ongoing challenge.

Purpose of the Study:

  • To present an algorithm for color assignment in computed tomography (CT) scans.
  • To generate color CT images that resemble traditional anatomy atlas illustrations.
  • To highlight the advantages of color-enhanced CT imaging over monochrome displays.

Main Methods:

  • Development of a novel algorithm for automated color assignment to CT scan data.
  • Implementation of color mapping techniques to represent different tissue densities.

Related Experiment Videos

  • Comparative analysis of color CT images versus standard monochrome CT representations.

    • Main Results:

    • A single color CT image can effectively replace multiple monochrome density range images.
    • Improved perception of low spatial frequencies in color-enhanced CT scans.
    • Demonstrated potential for improved detection of soft tissue tumors.

    Conclusions:

    • The presented color assignment algorithm offers significant advantages for CT image interpretation.
    • Color CT imaging enhances visualization, potentially improving diagnostic accuracy for soft tissue abnormalities.
    • Economic benefits are associated with the use of color displays and printed color copies for CT data.