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Comparative study of PDD fluorescent excitation and image processing methods (CROSBI ID 521197)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Kopriva, Ivica ; Zorc, Hrvoje ; Peršin Antun ; Lipozenčić, Jasna ; Pašić, Aida ; Kostović, Krešimir, Lončarić, Martin Comparative study of PDD fluorescent excitation and image processing methods // 6th International Symposium on Photodynamic Diagnosis and Therapy in Clinical Practice / H. Kostron, G. Jori (ur.). 2006

Podaci o odgovornosti

Kopriva, Ivica ; Zorc, Hrvoje ; Peršin Antun ; Lipozenčić, Jasna ; Pašić, Aida ; Kostović, Krešimir, Lončarić, Martin

engleski

Comparative study of PDD fluorescent excitation and image processing methods

Photodynamic diagnostics of skin tumors is based on the visualization of fluorophores, which accumulate in tumor tissue, by use of fluorescence imaging. Of particular importance is application of  -5-aminolaevulinic acid (ALA) that stimulates formation of protoporphyrin IX (Pp IX) through the process of biosynthesis. Higher concentration of Pp IX in tumor tissue, compared to surrounding healthy skin, is the basis for PDD. The study has been done on a patient suffering from Basal Cell Carcinoma (BCC) treated with ALA. Our contribution in this communication is twofold. First, we have compared performance of four fluorescence excitations in term of the quality of BCC localization. We have used the following excitation sources: 405 nm lamp (MEDILED-5), the Wood’ s lamp, the MEDILED-5 and Wood’ s lamp together and the filtered photo flash lamp. We have demonstrated that fluorescent image obtained using excitation with MEDILED-5 lamp is the most consistent in term of the quality of BCC localization. Second, we have compared three methods used for the processing of fluorescent BCC images in order to obtain the BCC spatial maps. The following three image processing methods have been applied: the ratio imaging, optimal threshold and independent component analysis (ICA). The ratio image is obtained by calculating ratio between red and green component for every pixel. The optimal threshold image is obtained by classifying as a BCC everything that is above 1.4Ia, where Ia represents average intensity of the region with healthy skin. We have demonstrated that BCC spatial map produced by ICA is most consistent in term of the quality of BCC localization.

independent component analysis; picture processing; photodynamic diagnosis

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Podaci o prilogu

2006.

objavljeno

Podaci o matičnoj publikaciji

6th International Symposium on Photodynamic Diagnosis and Therapy in Clinical Practice

H. Kostron, G. Jori

Podaci o skupu

6th International Symposium on Photodynamic Diagnosis and Therapy in Clinical Practice

predavanje

10.10.2006-14.10.2006

Bressanone, Italija

Povezanost rada

Fizika, Računarstvo, Kliničke medicinske znanosti