Data mining for average images in a digital hand atlas

Aifeng Zhang; Fei Cao; Ewa Pietka; Brent J. Liu; H. K. Huang

doi:10.1117/12.535569

19 April 2004 Data mining for average images in a digital hand atlas

Aifeng Zhang, Fei Cao, Ewa Pietka, Brent J. Liu, H. K. Huang

Proceedings Volume 5371, Medical Imaging 2004: PACS and Imaging Informatics; (2004) https://doi.org/10.1117/12.535569
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.535569

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