Organ segmentation from abdominal CT scans

Abdominal organs are automatically identified and reconstructed by using an improved fast marching technique whose speed function integrates grey level information, image edges, and distance between the growing seeds.

The work has been developed with and Policlinico Hospital (Milano)

Publications

F. Bredolo, A. Esposito, E. Casiraghi, G. Cornalba and P. Biondetti. Intestinal interposition: the prevalence and clinical relevance of non-hepatodiaphragmatic conditions (non-Chilaiditi forms) documented by CT and review of the literature. La radiologia medica, Springer 116(4), 2011.

P. Campadelli, E. Casiraghi and E. Esposito. Liver segmentation from ct scans: a survey and a new algorithm. Journal of Artificial Intelligence in Medicine, 2008.

P. Campadelli, E. Casiraghi, S. Pratissoli and G. Lombardi. Automatic abdominal organ segmentation from CT images. ELCVIA: electronic letters on computer vision and image analysis 8(1), 2009.

P. Campadelli, E. Casiraghi and S. Pratissoli. A segmentation framework for abdominal organs from CT scans. Artificial Intelligence in Medicine, Elsevier 50(1), 2010.