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Proceedings Paper

Improving the channeler ant model for lung CT analysis
Author(s): Piergiorgio Cerello; Ernesto Lopez Torres; Elisa Fiorina; Chiara Oppedisano; Cristiana Peroni; Raul Arteche Diaz; Roberto Bellotti; Paolo Bosco; Niccolo Camarlinghi; Andrea Massafra
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Paper Abstract

The Channeler Ant Model (CAM) is an algorithm based on virtual ant colonies, conceived for the segmentation of complex structures with different shapes and intensity in a 3D environment. It exploits the natural capabilities of virtual ant colonies to modify the environment and communicate with each other by pheromone deposition. When applied to lung CTs, the CAM can be turned into a Computer Aided Detection (CAD) method for the identification of pulmonary nodules and the support to radiologists in the identification of early-stage pathological objects. The CAM has been validated with the segmentation of 3D artificial objects and it has already been successfully applied to the lung nodules detection in Computed Tomography images within the ANODE09 challenge. The model improvements for the segmentation of nodules attached to the pleura and to the vessel tree are discussed, as well as a method to enhance the detection of low-intensity nodules. The results on five datasets annotated with different criteria show that the analytical modules (i.e. up to the filtering stage) provide a sensitivity in the 80 - 90% range with a number of FP/scan of the order of 20. The classification module, although not yet optimised, keeps the sensitivity in the 70 - 85% range at about 10 FP/scan, in spite of the fact that the annotation criteria for the training and the validation samples are different.

Paper Details

Date Published: 9 March 2011
PDF: 8 pages
Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79633A (9 March 2011); doi: 10.1117/12.878310
Show Author Affiliations
Piergiorgio Cerello, Istituto Nazionale di Fisica Nucleare (Italy)
Ernesto Lopez Torres, CEADEN (Cuba)
Elisa Fiorina, Univ. di Torino (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Chiara Oppedisano, Istituto Nazionale di Fisica Nucleare (Italy)
Cristiana Peroni, Istituto Nazionale di Fisica Nucleare (Italy)
Univ. di Torino (Italy)
Raul Arteche Diaz, CEADEN (Cuba)
Roberto Bellotti, Univ. di Bari (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Paolo Bosco, Univ. di Genova (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Niccolo Camarlinghi, Univ. di Pisa (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)
Andrea Massafra, Univ. del Salento (Italy)
Istituto Nazionale di Fisica Nucleare (Italy)


Published in SPIE Proceedings Vol. 7963:
Medical Imaging 2011: Computer-Aided Diagnosis
Ronald M. Summers; Bram van Ginneken, Editor(s)

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