MIKULKA, Jan, Miroslav KABRDA, Eva GESCHEIDTOVÁ and Vojtěch PEŘINA. Classification of Jawbone Cysts via Orthopantomogram Processing. In 2012 35TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (tsp). Prague: IEEE, 2012, p. 499-502. ISBN 978-1-4673-1118-2. Available from: https://dx.doi.org/10.1109/TSP.2012.6256344.
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Basic information
Original name Classification of Jawbone Cysts via Orthopantomogram Processing
Authors MIKULKA, Jan, Miroslav KABRDA, Eva GESCHEIDTOVÁ and Vojtěch PEŘINA.
Edition Prague, 2012 35TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (tsp), p. 499-502, 4 pp. 2012.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 30200 3.2 Clinical medicine
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Organization unit Faculty of Medicine
ISBN 978-1-4673-1118-2
Doi http://dx.doi.org/10.1109/TSP.2012.6256344
UT WoS 000308143100095
Keywords in English Image classification;live-wire;OPG;RTG;image processing
Tags International impact, Reviewed
Changed by Changed by: Ing. Mgr. Věra Pospíšilíková, učo 9005. Changed: 22/4/2013 16:46.
Abstract
The subject of the paper is a method proposed for automated evaluation of the parameters of orthopantomograms of cystic disorders in human jawbones. The main problem in medical diagnostic is the low repeatability due to the subjective evaluation of images/pictures without using a tool for image processing. An available database of images of cysts is described in the paper. Results of a fast automated segmentation by the live-wire method are also given. Selected segments were processed in the ImageJ Java environment. In the cystic regions their basic statistical and shape properties were evaluated. Results of the evaluation are given in the paper conclusion. In the next stage of the research, the values obtained will be compared with the subjective evaluation by radiologists and the possibility will be discussed of exploiting selected parameters or their combinations for an automatic assessment of the level of cystic disorders.
Links
GAP102/11/0318, research and development projectName: Analýza metabolizmu a lokalizace změn kostní tkáně čelisti pomocí MR zobrazovacích technik
Investor: Czech Science Foundation
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