Pregled bibliografske jedinice broj: 71701
3-D deformable model for abdominal aortic aneurysm segmentation from CT images
3-D deformable model for abdominal aortic aneurysm segmentation from CT images // Proceedings of the First Int'l Workshop on Image and Signal Processing and Analysis / Lončarić, Sven; Babić, Hrvoje (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2000. str. 139-144 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 71701 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
3-D deformable model for abdominal aortic aneurysm segmentation from CT images
Autori
Lončarić, Sven ; Subašić, Marko ; Sorantin, Erich
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the First Int'l Workshop on Image and Signal Processing and Analysis
/ Lončarić, Sven; Babić, Hrvoje - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2000, 139-144
Skup
1st international workshop on image and signal processing
Mjesto i datum
Pula, Hrvatska, 13.06.2000. - 16.06.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
deformable model; level-set algorithm; aorta; image segmentation
Sažetak
In this paper we propose a technique for 3-D segmentation of abdominal aorta computed
tomography (CT) images. Output data of the proposed algorithm is a 3-D model of aorta that
can be used for measurement of aortas dimensions. Thos information are very important in
minimally invasive treatment of abdominal aortic aneurysm. The technique is based on
deformable model. The deformable model is implemented using a level-set algorithm for
implementation of the method. The level set algorithm has several advantages over classical
snake algorithms. Experiments have been performed using real patient CT angiography
images and have shown good results.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
