Title :
Automatic Segmentation of Abdominal Organs from CT Scans
Author :
Campadelli, Paola ; Casiraghi, Elena ; Pratissoli, Stella
Author_Institution :
Univ. degli Studi di Milano, Milano
Abstract :
In the field of medical image processing, one of the current interests is the automatic segmentation of abdominal CT images, which is the first and fundamental step both before any automatic pathology detection and to compute the 3D abdominal organ volumes. In this paper we propose our fully automatic system that segments liver and its blood vessels, kidneys, spleen, ribs and spine. The overall system has been evaluated on the data of 40 patients, obtaining a good assessment both by visual inspection by three experts, and by comparing the computed results to the manually traced boundaries.
Keywords :
biological organs; computerised tomography; image segmentation; medical image processing; 3D abdominal organ volumes; CT scans; abdominal CT images; automatic abdominal organ segmentation; automatic pathology detection; medical image processing; Abdomen; Biomedical image processing; Biomedical imaging; Blood vessels; Computed tomography; Image segmentation; Inspection; Liver; Pathology; Ribs;
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location :
Patras
Print_ISBN :
978-0-7695-3015-4
DOI :
10.1109/ICTAI.2007.13