A hybrid method based on level set and 3D region growing for segmentation of the thoracic aorta. (23rd July 2013)

• Record Type: Journal Article
• Authors: Martínez-Mera, Juan Antonio; Tahoces, Pablo G.; Carreira, José M.; Suárez-Cuenca, Jorge Juan; Souto, Miguel
• Is Part Of: Computer aided surgery. Volume 18:Number 5/6(2013:Sep./Nov.)
• Page Start: 109
• Page End: 117
• Publication Date: 2013-07-23
• Subjects: Aorta -- aneurysm -- computed tomography -- level set -- segmentation; Computer-assisted surgery -- Periodicals; Imaging systems in medicine -- Periodicals; Surgery, Operative -- Computer simulation -- Periodicals; Surgical technology -- Periodicals; Medical technology -- Periodicals; 617.90285
• DOI: 10.3109/10929088.2013.816978
• Languages: English
• ISSNs: 1092-9088

Abstract

Abstract: This study sought to develop a completely automatic method for image segmentation of the thoracic aorta. We used a total of 4682 images from 10 consecutive patients. The proposed method is based on the use of level set and region growing, automatically initialized using the Hough transform. The results obtained were compared to those of manual segmentation as performed by an external expert radiologist. Concordance between the developed method and manual segmentation ranged from 92.79 to 95.77% in the descending regions of the aorta and from 90.68 to 96.54% in the ascending regions, with a mean value of 93.83% being obtained for total segmentation.