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19 April 2004 Data mining for average images in a digital hand atlas
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Bone age assessment is a procedure performed in pediatric patients to quickly evaluate parameters of maturation and growth from a left hand and wrist radiograph. Pietka and Cao have developed a Computer-aided diagnosis (CAD) method of bone age assessment based on a digital hand atlas. The aim of this paper is to extend their work by automatically select the best representative image from a group of normal children based on specific bony features that reflect skeletal maturity. The group can be of any ethnic origin and gender from one year to 18 year old in the digital atlas. This best representative image is defined as the "average" image of the group that can be augmented to Piekta and Cao's method to facilitate in the bone age assessment process.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aifeng Zhang, Fei Cao, Ewa Pietka, Brent J. Liu, and H. K. Huang "Data mining for average images in a digital hand atlas", Proc. SPIE 5371, Medical Imaging 2004: PACS and Imaging Informatics, (19 April 2004);


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