PSO for Graph-Based Segmentation of Wrist Bones in Bone Age Assessment
Keywords:skeletal maturity, bone age assessment (BAA), particle swarm optimization (PSO), graph-based segmentation, left-hand wrist radiograph
Skeletal maturity is a reliable indicator of growth and skeletal bone age assessmentÂ (BAA) is used in the management and diagnosis of endocrine disorders. Bone age canÂ be estimated from the left-hand wrist radiograph of the subject. The work presentedÂ in this paper proposes the development of an efficient technique for segmentation ofÂ hand-wrist radiographs and identifying the bones specially used as Regions of InterestÂ (ROIs) for the bone age estimation process. The segmentation method is based onÂ the concept of Particle Swarm Optimization (PSO) and it consists of graph-basedÂ segmentation procedure. The system provides an option of either segmenting all theÂ bones totally or segmenting only the specific ROIs under consideration. The systemÂ is validated with a data set of 100 images with 50 radiographs of female subjects andÂ 50 of male subjects. The time taken for segmenting each bone is calculated and theÂ results are discussed.
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