Automated bone age assessment of older children using the radius

Sinchai Tsao; Arkadiusz Gertych; Aifeng Zhang; Brent J. Liu; Han K. Huang

doi:10.1117/12.770018

12 March 2008 Automated bone age assessment of older children using the radius

Sinchai Tsao, Arkadiusz Gertych, Aifeng Zhang, Brent J. Liu, Han K. Huang

Proceedings Volume 6919, Medical Imaging 2008: PACS and Imaging Informatics; 69190E (2008) https://doi.org/10.1117/12.770018
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

The Digital Hand Atlas in Assessment of Skeletal Development is a large-scale Computer Aided Diagnosis (CAD) project for automating the process of grading Skeletal Development of children from 0-18 years of age. It includes a complete collection of 1,400 normal hand X-rays of children between the ages of 0-18 years of age. Bone Age Assessment is used as an index of skeletal development for detection of growth pathologies that can be related to endocrine, malnutrition and other disease types. Previous work at the Image Processing and Informatics Lab (IPILab) allowed the bone age CAD algorithm to accurately assess bone age of children from 1 to 16 (male) or 14 (female) years of age using the Phalanges as well as the Carpal Bones. At the older ages (16(male) or 14(female) -19 years of age) the Phalanges as well as the Carpal Bones are fully developed and do not provide well-defined features for accurate bone age assessment. Therefore integration of the Radius Bone as a region of interest (ROI) is greatly needed and will significantly improve the ability to accurately assess the bone age of older children. Preliminary studies show that an integrated Bone Age CAD that utilizes the Phalanges, Carpal Bones and Radius forms a robust method for automatic bone age assessment throughout the entire age range (1-19 years of age).

Citation Download Citation

Sinchai Tsao, Arkadiusz Gertych, Aifeng Zhang, Brent J. Liu, and Han K. Huang "Automated bone age assessment of older children using the radius", Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 69190E (12 March 2008); https://doi.org/10.1117/12.770018

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