3-D deformable model segmentation of abdominal aortic aneurysm (CROSBI ID 481596)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Subašić, Marko ; Lončarić, Sven ; Sorantin, Erich
engleski
3-D deformable model segmentation of abdominal aortic aneurysm
tomography angiography (CTA) images. Output data (3-D model) form the proposed method can be used for measurement of aortic shape and dimensions. Knowledge of aortic shape and size is very important in planning of minimally invasive procedure that is for selection of appropriate stent graft device for treatment of AAA. The technique is based on a 3-D deformable model and utilizes the level-set algorithm for implementation of the method. The method performs 3-D segmentation of CTA images and extracts a 3-D model of aortic wall. Once the 3-D model of aortic wall is available it is easy to perform all required measurements for appropriate stent graft selection. The method proposed in this paper uses the level-set algorithm for deformable models, instead of the classical snake algorithm. The main advantage of the level set algorithm is that it enables easy segmentation of complex structures, surpassing most of the drawbacks of the classical approach. We have extended the deformable model to incorporate the a priori knowledge about the shape of the AAA. This helps direct the evolution of the deformable model to correctly segment the aorta. The algorithm has been implemented in IDL and C languages. Experiments have been performed using real patient CTA images and have shown good results.
abdominal aortic aneurysm; deformable models; level set; image analysis; image segmentation
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Podaci o prilogu
388-394-x.
2001.
objavljeno
Podaci o matičnoj publikaciji
Medical Imaging 2001; Image processing
Sonka, Milan; Hanson, Kenneth M.
San Diego (CA): The Society of Photo-Optical Instrumentation Engineers
Podaci o skupu
Medical Imaging 2001
predavanje
19.02.2001-22.02.2001
San Diego (CA), Sjedinjene Američke Države