Automatic Abdominal Organ Segmentation from CT images

• Casiraghi, Elena ^[1] ; Campadelli, Paola ^[1] ; Pratissoli, Stella ^[1] ; Lombardi, Gabriele ^[1]
  1. [1] University of Milan

     University of Milan

     Milán, Italia

     
• Localización: ELCVIA. Electronic letters on computer vision and image analysis, ISSN-e 1577-5097, Vol. 8, Nº. 1, 2009, págs. 1-14
• Idioma: inglés
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• Resumen

  • In the recent years a great deal of research work has been devoted to the development of semi-automaticand automatic techniques for the analysis of abdominal CT images. Some of the current interests are theautomatic diagnosis of liver, spleen, and kidney pathologies and the 3D volume rendering of the abdominalorgans. The first and fundamental step in all these studies is the automatic organs segmentation, that is stillan open problem. In this paper we propose our fully automatic system that employs a hierarchical graylevel based framework to segment heart, bones (i.e. ribs and spine), liver and its blood vessels, kidneys, andspleen. The overall system has been evaluated on the data of 100 patients, obtaining a good assessment bothby visual inspection by three experts, and by comparing the computed results to the boundaries manuallytraced by experts.