Assessment of similarity rates of liver images using geometric transformations

In this study, similarity rates of the liver images are determined using 3D geometric transformation methods and numerical comparisons are made. Three geometric transformation methods scaling, rotating, and translating are consecutively applied to 10 intact liver images which are drawn by the radiol...

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Bibliographic Details
Published in2016 Medical Technologies National Congress (TIPTEKNO) pp. 1 - 4
Main Authors Palabas, Tugba, Osman, Onur, Ergin, Tuncer, Teomete, Uygar, Dandin, Ozgur, Aydin, Nizamettin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2016
Subjects
Active appearance model
Biomedical imaging
Computed tomography
Dice coefficient
geometric transformation
Histograms
Image segmentation
injured liver
Liver
Probabilistic logic
segmentation
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Summary:In this study, similarity rates of the liver images are determined using 3D geometric transformation methods and numerical comparisons are made. Three geometric transformation methods scaling, rotating, and translating are consecutively applied to 10 intact liver images which are drawn by the radiologists. Atlases of liver images are generated, Dice coefficients are calculated according to the specified atlases and are assessed for various cases. This study is presented as a step to prepare atlas database for segmentation of the injured liver.
DOI:10.1109/TIPTEKNO.2016.7863136