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Proceedings Paper

Hyperspectral image processing for detection and grading of skin erythema
Author(s): Ali Madooei; Ramy Mohammed Abdlaty; Lilian Doerwald-Munoz; Joseph Hayward; Mark S. Drew; Qiyin Fang; Josiane Zerubia
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Paper 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.

Paper Details

Date Published: 24 February 2017
PDF: 7 pages
Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 1013322 (24 February 2017);
Show Author Affiliations
Ali Madooei, Simon Fraser Univ. (Canada)
Ramy Mohammed Abdlaty, McMaster Univ. (Canada)
Lilian Doerwald-Munoz, Juravinski Cancer Ctr. (Canada)
Joseph Hayward, Juravinski Cancer Ctr. (Canada)
Mark S. Drew, Simon Fraser Univ. (Canada)
Qiyin Fang, McMaster Univ. (Canada)
Josiane Zerubia, Univ. Côte d'Azur (France)


Published in SPIE Proceedings Vol. 10133:
Medical Imaging 2017: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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