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.
Automatic segmentation of abdominal organs from CT scans / P. Campadelli, E. Casiraghi, S. Pratissoli - In: ICTAI 07 : proceedings of ninteenth international conference on tools with artificial intelligence : 29-31 October 2007, Patras, Greece : vol. 1 / [a cura di] co-sponsored by IEEE Computer Society [and] Biological and Artificial Intelligence Society. - Los Alamitos : IEEE Computer Society, 2007 Oct. - ISBN 076953015X. - pp. 513-516 (( Intervento presentato al 19. convegno International Conference on Tools with Artificial Intelligence - ICTAI 07 tenutosi a Patras, Greece nel 2007.
Automatic segmentation of abdominal organs from CT scans
P. Campadelli;E. Casiraghi;S. Pratissoli
2007
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.
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