Analysis of ramifications and carina shape in bronchoscopic images

• Autorzy: Mikrut Z. , Duplaga M.
• Języki publikacji: EN

Abstrakty

EN

Because of the growing volume of digital registrations obtained from bronchoscopic examinations it proved necessary to summarize (“brief”) their results, namely to mark the parts that are relevant and/or irrelevant for medical diagnosis. The parts in which the ramification areas of bronchial tree are visualized belong to the first group. The paper presents an automatic method for detection of the areas where next level orifices of bronchial tree are visible. The applied algorithms allow the shape evaluation for both orifices and the area located between them (carina). In both cases backpropagation type neural networks are used as classifiers.

Słowa kluczowe

EN

bronchoscopic video; video summarization; digital image analysis; multi-thresholding; shape descriptors

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2010
• Tom: Vol. 6, no. 12
• Strony: 15--20
• Opis fizyczny: Bibliogr. 10 poz., wykr., zdj.

Twórcy

autor

Mikrut Z.

• AGH University of Science and Technology, Institute of Automatics, Mickiewicza Ave., 30-059

autor

Duplaga M.

• Jagiellonian University, Medical College, Grzegorzecka Str. 20, 31-531 Kraków, Poland

Bibliografia

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• 4. Mikrut Z., Duplaga M.: Analysis of Images of Bronchial Tree Ramifications for Summarization of Bronchoscopic Videos. Proc. 2nd International Conference on Information Technologies in Biomedicine, Kamień Śląski, Poland, Springer-Verlag, pp. 583-586, 2010, in press
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