Přejít na obsah

Publikace

Detail publikace

Citace

Zimmermann P. and Pirner I. and Zelezny M. : Segmentation of liver vessels for surgical purposes . Pattern Recognition and Image Analysis, Springer US, 2014.

Další informace


odkaz

Abstrakt

In this paper we describe a new approach for segmentation of liver from CT images and further the segmentation of liver vessels to create a visualization model for surgical purposes. Since usual approaches, based on density models or edge detection, don't work well for liver, we investigate the texture of the liver to classify each pixel, whether it lies on the liver-background boundary or outside it. The classifier outputs the boundaries of the liver in each slice, which are used then to create the organ volume. Vessels are segmented then inside the liver volume using a single automatically selected threshold. The result is morphologically closed and smoothed by a Gaussian kernel then.

Detail publikace

Název: Segmentation of liver vessels for surgical purposes
Autor: Zimmermann P. ; Pirner I. ; Zelezny M.
Název - česky: Segmentace jaterních cév pro chirurgické účely
Jazyk publikace: anglicky
Datum vydání: 1.1.2014
Rok vydání: 2014
Typ publikace: Článek z časopisu
Název časopisu / knihy: Pattern Recognition and Image Analysis
Nakladatel: Springer US
/ 2015-12-21 10:14:59 /

Klíčová slova

mathematical morphology, Medical image segmentation, texture-based classification, thresholding

BibTeX

@ARTICLE{ZimmermannP_2014_Segmentationofliver,
 author = {Zimmermann P. and Pirner I. and Zelezny M.},
 title = {Segmentation of liver vessels for surgical purposes},
 year = {2014},
 publisher = {Springer US},
 journal = {Pattern Recognition and Image Analysis},
 url = {http://www.kky.zcu.cz/en/publications/ZimmermannP_2014_Segmentationofliver},
}