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Perception‑based, Nonuniform Color Mapping for CT Reading
Andreas W Landolt1, André Euler, Johannes M Froehlich
1Department of Radiology, Kantonsspital Baden, Affiliated Hospital for Research and Trainingof the Faculty of Medicine of the University of Zurich, 5404 Baden, Switzerland (A.W.L., A.E., R.K.-H.); KlusLab Research, Zurich, Switzerland (J.M.F.).
Investigative Radiology
|August 4, 2026
Summary
This study introduces a new software framework for perception-based color mapping in CT imaging. Nonuniform color mapping significantly improved tissue differentiation and was preferred over standard methods in phantom studies.
Area of Science:
- Medical Imaging
- Radiology
- Computer Vision
Background:
- Current computed tomography (CT) interpretation relies on manual gray-scale windowing, despite technological advancements.
- Existing uniform color mappings offer no perceptual advantage over gray-scale displays for tissue differentiation.
Purpose of the Study:
- Develop and evaluate a software framework for interactive, perception-based color mapping in CT.
- Enhance visual separation of tissues and structures in CT images.
Main Methods:
- Developed a custom research DICOM viewer for interactive, nonuniform color display.
- Verified the framework using contrast-agent dilution series and liver phantom CT scans.
- Conducted visual rating of tissue differentiation with different color mappings.
Main Results:
- Quantitative verification confirmed accurate mapping of CT values to color.
- Nonuniform color mapping demonstrated stable visual representations in phantom studies.
- Subjective visual analysis revealed a significant preference for nonuniform color mapping.
Conclusions:
- Perception-based nonuniform color mapping enhances visual separation of tissues and structures in CT.
- The proposed approach offers advantages over standard uniform display methods for CT image interpretation.
- This method was preferred in phantom-based visual assessments.
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