Computed tomography (CT) images are becoming an invaluable mean for abdominal organ investigation. In the field of medical image processing, some of the current interests are the automatic diagnosis of liver, spleen, and kidney pathologies and the 3D volume rendering of the abdominal organs. The first and fundamental step in all these studies is the automatic organs segmentation, that is still an open problem. In this paper we propose a fully automatic gray level based segmentation framework that employs a fast marching technique; the proposed segmentation scheme is general, and employs only established and not critical anatomical knowledge. For this reason, it can be easily adapted to separately segment different abdominal organs, by overcoming problems due to the high inter and intra patient gray level and shape variabilities; the extracted volumes are then combined to achieve robust results. The system performance has been evaluated on the data of 40 patients, by comparing the automatically detected organ volumes to the organ boundaries manually traced by three experts. The good quality of the achieved results is proved by the fact that they are comparable to the inter and intra personal variability of the manual segmentation produced by experts.
Fully Automatic Segmentation of Abdominal Organs from CT Images using Fast Marching Methods. / P. Campadelli, E. Casiraghi, S. Pratissoli - In: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems : June 17-19, 2008, Jyväskylä, Finland / [a cura di] S. Puuronen, M. Pechenizkiy, A. Tsymbal, D.-J. Lee. - Los Alamitos : IEEE Computer Society, 2008 Jun. - ISBN 9780769531656. - pp. 554-559 (( Intervento presentato al 21. convegno IEEE International Symposium on Computer-Based Medical Systems (CBMS 2008) tenutosi a Jyvaskyla, Finland nel 2008.
|Titolo:||Fully Automatic Segmentation of Abdominal Organs from CT Images using Fast Marching Methods.|
|Parole Chiave:||Abdominal Organ Segmentation ; CT images diffusion filter ; fast marching|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||giu-2008|
|Enti collegati al convegno:||IEEE|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/CBMS.2008.9|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|