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Bio-optical modeling of epithelial neoplasia

Papadogiannis Sevastianos

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Year 2019
Type of Item Diploma Work
Bibliographic Citation Sevastianos Papadogiannis, "Bio-optical modeling of epithelial neoplasia", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2019
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Over the last years, a radical change regarding diagnosis of cervical neoplasia has been prepared. Classic procedure involving biopsy may be replaced by in vivo non invasive optical biopsy. In this thesis, we are studying a model that estimates for each combination of 4 biological parameters, the spatiotemporal curves of diffused reflectance versus time, that are produced during the acetowhitening phenomenon. We aim to solve the reverse problem, estimating the bio-parameters given the curve, efficiently in terms of both accuracy and speed. Initially, we used several curve matching algorithms to decide which is optimal for the problem. Then, we used k-means clustering on the model dataset to reduce comparisons and lower procedure duration. Finally, we correlated curve features to bio-parameters and created a decision rule for instant bio-parameter estimation through optimization with decision regions. Judging from the estimation accuracy and the calculations on execution times, we have strong confidence in the future of the method.

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