DocumentCode
468440
Title
Automatic Segmentation of Abdominal Organs from CT Scans
Author
Campadelli, Paola ; Casiraghi, Elena ; Pratissoli, Stella
Author_Institution
Univ. degli Studi di Milano, Milano
Volume
1
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
513
Lastpage
516
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location
Patras
ISSN
1082-3409
Print_ISBN
978-0-7695-3015-4
Type
conf
DOI
10.1109/ICTAI.2007.13
Filename
4410328
Link To Document