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Proceedings Paper

An advanced design of non-radioactive image capturing and management system for applications in non-invasive skin disorder diagnosis
Author(s): Carol Y. B. Liu; David C. K. Luk; Kany S. Y. Zhou; Bryan M. K. So; Derek C. H. Louie
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Paper Abstract

Due to the increasing incidences of malignant melanoma, there is a rising demand for assistive technologies for its early diagnosis and improving the survival rate. The commonly used visual screening method is with limited accuracy as the early phase of melanoma shares many clinical features with an atypical nevus, while conventional dermoscopes are not user-friendly in terms of setup time and operations. Therefore, the development of an intelligent and handy system to assist the accurate screening and long-term monitoring of melanocytic skin lesions is crucial for early diagnosis and prevention of melanoma. In this paper, an advanced design of non-invasive and non-radioactive dermoscopy system was reported. Computer-aided simulations were conducted for optimizing the optical design and uniform illumination distribution. Functional prototype and the software system were further developed, which could enable image capturing at 10x amplified and general modes, convenient data transmission, analysis of dermoscopic features (e.g., asymmetry, border irregularity, color, diameter and dermoscopic structure) for assisting the early detection of melanoma, extract patient information (e.g. code, lesion location) and integrate with dermoscopic images, thus further support long term monitoring of diagnostic analysis results. A clinical trial study was further conducted on 185 Chinese children (0-18 years old). The results showed that for all subjects, skin conditions diagnosed based on the developed system accurately confirmed the diagnoses by conventional clinical procedures. Besides, clinical analysis on dermoscopic features and a potential standard approach by the developed system to support identifying specific melanocytic patterns for dermoscopic examination in Chinese children were also reported.

Paper Details

Date Published: 4 March 2015
PDF: 7 pages
Proc. SPIE 9313, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII, 93130J (4 March 2015); doi: 10.1117/12.2078830
Show Author Affiliations
Carol Y. B. Liu, Hong Kong Productivity Council (Hong Kong, China)
David C. K. Luk, United Christian Hospital (Hong Kong, China)
Kany S. Y. Zhou, Hong Kong Productivity Council (Hong Kong, China)
Bryan M. K. So, Hong Kong Productivity Council (Hong Kong, China)
Derek C. H. Louie, Hong Kong Productivity Council (Hong Kong, China)


Published in SPIE Proceedings Vol. 9313:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest; Quan Liu, Editor(s)

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