Color Imaging in Medical Video Systems: Problems and Features

This paper explores the issue of accurate colour reproduction in medical imaging. It considers key problems and lists standards related to the process of forming and displaying medical images. Particular attention is paid to the fact that the existing standards do not take into account the individual characteristics of colour perception in different doctors. In the conditions of using modern displays with wide colour coverage this can lead to errors in colour rendering for a particular doctor, which, in turn, reduces the accuracy of disease diagnostics. The application of optimal LUT (Look-Up Table) with variable resolution to recalculate the colour space of the display is proposed, which allows to personalise the image for individual features of the doctor's vision and improve the accuracy of diagnosis. Experimental results demonstrating the advantages of the proposed approach over classical colour transform methods are presented. The results confirm that the use of variable resolution LUT can reduce colour rendering errors and improve the quality of medical diagnostics.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/dspa64310.2025.10977889
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00

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article

Color Imaging in Medical Video Systems: Problems and Features

Konstantin A. Smirnov, Alexandr A. Motyko, Alexandr A. Pozdeev, Н. А. Обухова
Brain Tumor Detection and Classification
article

Color Imaging in Medical Video Systems: Problems and Features

Konstantin A. Smirnov, Alexandr A. Motyko, Alexandr A. Pozdeev, Н. А. Обухова
article en

Abstract

This paper explores the issue of accurate colour reproduction in medical imaging. It considers key problems and lists standards related to the process of forming and displaying medical images. Particular attention is paid to the fact that the existing standards do not take into account the individual characteristics of colour perception in different doctors. In the conditions of using modern displays with wide colour coverage this can lead to errors in colour rendering for a particular doctor, which, in turn, reduces the accuracy of disease diagnostics. The application of optimal LUT (Look-Up Table) with variable resolution to recalculate the colour space of the display is proposed, which allows to personalise the image for individual features of the doctor's vision and improve the accuracy of diagnosis. Experimental results demonstrating the advantages of the proposed approach over classical colour transform methods are presented. The results confirm that the use of variable resolution LUT can reduce colour rendering errors and improve the quality of medical diagnostics.

Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 87%
Brain Tumor Detection and Classification
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