Search research articles

Search research articles

Related Experiment Videos

A colour management framework for medical imaging applications.

Ming Ronnier Luo¹

¹Colour & Imaging Group, Department of Colour and Polymer Chemistry, University of Leeds, Leeds LS2 9JT, UK. m.r.luo@leeds.ac.uk

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society

|October 20, 2006

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

Evaluating and reducing observer metamerism on displays.

Optics express·2025

Same author

Individual color matches and cone spectral sensitivities in 100 observers of varying age.

Optics express·2025

Same author

Visual comfort models based on coloured text and neutral background combinations.

Vision research·2024

Same author

Generic color correction for tone mapping operators in high dynamic range imaging.

Optics express·2024

Same author

Individual differences in color matches and cone spectral sensitivities in 51 young adults.

Optics express·2024

Same author

Optimized principal component analysis for camera spectral sensitivity estimation.

Journal of the Optical Society of America. A, Optics, image science, and vision·2023

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

Accurate medical diagnoses depend on consistent color reproduction across different devices and viewing conditions. This study proposes a color management framework to ensure reliable cross-media color accuracy in medical imaging.

Area of Science:

Medical Imaging
Color Science

Background:

Reliable medical diagnoses are increasingly dependent on accurate color reproduction.
Variations in display devices and viewing conditions can lead to color discrepancies.
Cross-media color consistency is crucial for interpreting physical specimens and digital images.

Purpose of the Study:

To review the current state of color imaging in medical applications.
To address the challenge of inconsistent color reproduction in medical imaging.
To propose a novel color management framework for medical applications.

Main Methods:

Review of existing literature on medical color imaging.
Analysis of factors affecting cross-media color reproduction.
Development of a conceptual color management framework.

Related Experiment Videos

Main Results:

Identified critical areas where color accuracy is paramount in medical applications.
Highlighted the limitations of current methods in achieving consistent color reproduction.
Proposed a framework designed to standardize color reproduction across different media.

Conclusions:

Accurate color reproduction is essential for reliable medical diagnoses.
The proposed color management framework offers a solution to enhance cross-media color consistency.
Implementation of this framework can improve the diagnostic accuracy of medical imaging.