Classification of jawbone cysts via orthopantomogram processing

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.