Soft-tissues Image Processing: Comparison of Traditional Segmentation Methods with 2D active Contour Methods

0385188 - ÚPT 2013 RIV SK eng J - Článek v odborném periodiku
Mikulka, J. - Gescheidtová, E. - Bartušek, Karel
Soft-tissues Image Processing: Comparison of Traditional Segmentation Methods with 2D active Contour Methods.
Measurement Science Review. Roč. 12, č. 4 (2012), s. 153-161. ISSN 1335-8871. E-ISSN 1335-8871
Grant CEP: GA ČR GAP102/11/0318; GA ČR GAP102/12/1104; GA MŠMT ED0017/01/01
Institucionální podpora: RVO:68081731
Klíčová slova: Medical image processing * image segmentation * liver tumor * temporomandibular joint disc * watershed method
Kód oboru RIV: JA - Elektronika a optoelektronika, elektrotechnika
Impakt faktor: 1.233, rok: 2012

The paper deals with modern methods of image processing, especially image segmentation, classification and evaluation of parameters. It focuses primarily on processing medical images of soft tissues obtained by magnetic resonance tomography (MR). It is easy to describe edges of the sought objects using segmented images. The edges found can be useful for further processing of monitored object such as calculating the perimeter, surface and volume evaluation or even three-dimensional shape reconstruction. The proposed solutions can be used for the classification of healthy/unhealthy tissues in MR or other imaging. Application examples of the proposed segmentation methods are shown. Research in the area of image segmentation focuses on methods based on solving partial differential equations. This is a modern method for image processing, often called the active contour method. It is of great advantage in the segmentation of real images degraded by noise with fuzzy edges and transitions between objects. In the paper, results of the segmentation of medical images by the active contour method are compared with results of the segmentation by other existing methods. Experimental applications which demonstrate the very good properties of the active contour method are given.
Trvalý link: http://hdl.handle.net/11104/0214523