3-D image analysis of abdominal aortic aneurysm

被引：25

作者：

Subasic, M ^{[1
]}

Loncaric, S ^{[1
]}

Sorantin, E ^{[1
]}

机构：

[1] Fac Elect Engn & Comp, Zagreb 10000, Croatia

来源：

MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3 | 2002年 / 4684卷

关键词：

deformable model; level-set; abdominal aortic aneurysm; image segmentation; image analysis;

D O I：

10.1117/12.467138

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents a method for 3-D segmentation of abdominal aortic aneurysm from computed tomography angiography images. The proposed method is automatic and requires minimal user assistance. Segmentation is performed in two steps. First inner and then outer aortic border is segmented. Those two steps are different due to different image conditions on two aortic borders. Outputs of these two segmentations give a complete 3-D model of abdominal aorta. Such a 3-D model is used in measurements of aneurysm area. The deformable model is implemented using the level-set algorithm due to its ability to describe complex shapes in natural manner which frequently occur in pathology. In segmentation of outer aortic boundary we introduced some knowledge based preprocessing to enhance and reconstruct low contrast aortic boundary. The method has been implemented in IDL and C languages. Experiments have been performed using real patient CTA images and have shown good results.

引用

页码：1681 / 1689

页数：9

共 13 条

[1]

[Anonymous], SPIE HDB MED IMAGING

[2]

Berne R.M., 1997, CARDIOVASCULAR PHYSL

[3] KNOWLEDGE-BASED ANALYSIS AND UNDERSTANDING OF MEDICAL IMAGES [J].