Multiple genetic snakes for bone segmentation

Authors:
Leonardo Bocchi;Lucia Ballerini
Affiliations:
Dept. of Technology, Örebro University, Örebro, Sweden and Dept. of Electronics and Telecommunications, University of Florence, Firenze, Italy;Dept. of Technology, Örebro University, Örebro, Sweden and Dept. of Electronics and Telecommunications, University of Florence, Firenze, Italy
Venue:
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Year:
2003

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Abstract

Clinical assessment of skeletal age is a frequent, but yet difficult and time-consuming task. Automatic methods which estimate the skeletal age from a hand radiogram are currently being studied. This work presents a method to segment each bone complex in the radiogram, using a modified active contour approach. Each bone is modelled by an independent contour, while neighbouring contours are coupled by an elastic force. The optimization of the contour is done using a genetic algorithm. Experimental results, carried out on a portion of the whole radiogram, show that coupling of deformable contours with genetic optimization allows to obtain an accurate segmentation.