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Automatic Skin Basal Cell Carcinoma Detection Using Protophorphyrin IX((PpIX) Fluorescence Image  

Yu, Hong-Yeon (Department of Electronics and Information Engineering, Chonnam National University)
Jun, Do-Young (Department of Electronics and Information Engineering, Chonnam National University)
Kim, Min-Sung (Department of Electronics and Information Engineering, Chonnam National University)
Hong, Sung-Hoon (School of Electronics and Computer Engineering, Chonnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.45, no.1, 2008 , pp. 47-54 More about this Journal
Abstract
In this paper, we propose an auto-detection algorithm of basal cell carcinoma(BCC) from the protophorphyrin IX(PpIX) fluorescence image induced by appling the methyl 5-aminolaevulinate(MAL) ointment-induced protophorphyrin IX(PpIX) to the skin tumour area and then shining the wood lamp on the area. The proposed algorithm first generates 3 mask areas-tumor area, suspected tumor area and tumor free area and then applies local watershed algorithm to the turner and the suspected tumor areas to make small watershed regions that include similar luminance value pixels. Next, small watershed regions are merged by hierarchical queue based fast region merging that uses the difference between the average luminance values of adjacent watershed regions as a region merging criterion and finally BCC regions are detected. 50 tissue samples are acquired from the tumour regions of 10 patients with BCC that are extracted by using the proposed algorithm and are performed pathological examination by expert dermatologist. Experiment result shows the rate of tumor detection from BCC lesion using presurgical in vivo of MAL-indeuced PpIX fluorescence has high sensitivity 94.1% and relatively high specificity 82.6%.
Keywords
PpIX;
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Times Cited By KSCI : 5  (Citation Analysis)
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