Hyperspectral image processing for detection and grading of skin erythema

Ali Madooei; Ramy Mohammed Abdlaty; Lilian Doerwald-Munoz; Joseph Hayward; Mark S. Drew; Qiyin Fang; Josiane Zerubia

doi:10.1117/12.2254132

24 February 2017 Hyperspectral image processing for detection and grading of skin erythema

Ali Madooei, Ramy Mohammed Abdlaty, Lilian Doerwald-Munoz, Joseph Hayward, Mark S. Drew, Qiyin Fang, Josiane Zerubia

Proceedings Volume 10133, Medical Imaging 2017: Image Processing; 1013322 (2017) https://doi.org/10.1117/12.2254132
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Visual assessment is the most common clinical investigation of skin reactions in radiotherapy. Due to the subjective nature of this method, additional noninvasive techniques are needed for more accurate evaluation. Our goal is to evaluate the effectiveness of hyperspectral image analysis for that purpose. In this pilot study, we focused on detection and grading of skin Erythema. This paper reports our proposed processing pipeline and experimental findings. Experiments have been performed to demonstrate the efficacy of the proposed approach for (1) reproducing clinical assessments, and (2) outperforming RGB imaging data.

Citation Download Citation

Ali Madooei, Ramy Mohammed Abdlaty, Lilian Doerwald-Munoz, Joseph Hayward, Mark S. Drew, Qiyin Fang, and Josiane Zerubia "Hyperspectral image processing for detection and grading of skin erythema", Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 1013322 (24 February 2017); https://doi.org/10.1117/12.2254132

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