Title :
Automatic Segmentation of Abdominal Aortic Aneurysm in Computed Tomography Images Using Spatial Fuzzy C-Means
Author :
Majd, Emadaldin Mozafari ; Sheikh, U.U. ; Abu-Bakar, S.A.R.
Author_Institution :
Video & Image Process. Res. Group (Cwip), Univ. Teknol. Malaysia, Johor Bahru, Malaysia
Abstract :
Abdominal aortic aneurysm (AAA) is a cardiovascular disease which mostly appears in elderly people. Due to the weakening of aortic wall, a rupture occurs in the most inner layer of aorta and a thrombus is generated. If the diameter exceeds greater than 5.5 cm, a treatment strategy is required. As a result, CT imaging is utilized to screen and evaluate thrombus parameters for treatment. Exploitation of automatic techniques improves the pre- and post-treatment evaluation. In this paper, at first an algorithm based on spatial fuzzy c-means is applied to the CT image. Then lumen and thrombus are segmented automatically by tuning of morphological operators and thresholding parameters.
Keywords :
cardiovascular system; computerised tomography; diseases; fuzzy set theory; geriatrics; image segmentation; mathematical morphology; medical image processing; patient treatment; abdominal aortic aneurysm; aortic wall rupture; aortic wall weakening; automatic image segmentation; cardiovascular disease; computed tomography image; elderly people; morphological operator; patient treatment; post-treatment evaluation; pre-treatment evaluation; spatial fuzzy C-means algorithm; thresholding parameter; thrombus; Aneurysm; Biomedical imaging; Clustering algorithms; Computed tomography; Correlation; Image segmentation; Pixel; AAA; CT Angiography; Fuzzy C-means; Region of Interest (ROI); Segmentation; Thresholding;
Conference_Titel :
Signal-Image Technology and Internet-Based Systems (SITIS), 2010 Sixth International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-9527-6
Electronic_ISBN :
978-0-7695-4319-2
DOI :
10.1109/SITIS.2010.38
