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