Naslov
3-D vascular tree segmentation using level-set deformable model

Autori
Dekanić, Krešimir ; Lončarić, Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the Fifth International Symposium on Image and Signal Processing and Analysis / Petrou, Maria ; Saramaki, Tapio ; Ercil, Aytul ; Lončarić, Sven - Istanbul : Bogazici University, 2007, 407-412

ISBN
978-953-184-116-0

Skup
International Symposium on Image and Signal Processing and Analysis (5 ; 2007)

Mjesto i datum
Istanbul, Turska, 27.09.2007. - 29.09.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
vessel tree segmentation; level-set; deformable model

Sažetak
This paper describes a novel 3-D level-set deformable model-based approach for segmentation of medical computed tomography (CT) images of human brain vascular tree. The method employs a 3-D edge detection method to establish the initial contours. Afterwards a velocity field is created using the gradient vector flow algorithm. The deformable model is then initialized and solved using a level-set method. Experimental validation of the method has been conducted on CT images of real patients. Comments on performance and possible improvements are discussed.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA