Paper
15 May 2003 Bone segmentation using multiple communicating snakes
Lucia Ballerini, Leonardo Bocchi
Author Affiliations +
Abstract
Skeletal age assessment is a frequently performed procedure which requires high expertise and a considerable amount of time. Several methods are being developed to assist radiologists in this task by automating the various steps of the process. In this work we describe a method to perform the segmentation step, by means of a modified active contour approach. A set of separate active contours models each bone in a portion of the radiogram. Due to the complexity of the contour, and to the presence of multiple adjacent contours, we add to the commonly used energy termas a first-order derivative energy which allow to take into account the direction of the contour. Moreover, anatomical relationships among bones are modeled as additional internal elastic forces which couple together the contours. Contour energy is optimized using a genetic algorithm. Chromosomes are used to encode positions of snake points, using a polar representation. The genetic optimization overcomes the difficulties related to local minima and to the initialization criterium, and conveniently allows the addition of new energy terms. Experimental results show the method allows to achieve an accurate segmentation of the bone complexes in the region of interest.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lucia Ballerini and Leonardo Bocchi "Bone segmentation using multiple communicating snakes", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.481370
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Cited by 7 scholarly publications.
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KEYWORDS
Bone

Genetics

Image segmentation

Genetic algorithms

Control systems

Optimization (mathematics)

Computer programming

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