Carpal bone analysis in bone age assessment

Aifeng Zhang; Arkadiusz Gertych; Sylwia Kurkowska-Pospiech; Brent J. Liu; H. K. Huang

doi:10.1117/12.653858

16 March 2006 Carpal bone analysis in bone age assessment

Aifeng Zhang, Arkadiusz Gertych, Sylwia Kurkowska-Pospiech, Brent J. Liu, H. K. Huang

Proceedings Volume 6145, Medical Imaging 2006: PACS and Imaging Informatics; 61450Z (2006) https://doi.org/10.1117/12.653858
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

A computer-aided-diagnosis (CAD) method has been previously developed in our Laboratory based on features extracted from regions of interest (ROI) in phalanges in a digital hand atlas. Due to various factors, including, the diversity of size, shape and orientation of carpal bones, non-uniformity of soft tissue, low contrast between the bony structure and soft tissue, the automatic identification and segmentation of bone boundaries is an extremely challenging task. Past research work on carpal bone segmentation has been done utilizing dynamic thresholding. However, due to the discrepancy of carpal bones developments and the limitations of segmentation algorithms, carpal bone ROI has not been taken into consideration in the bone age assessment procedure. In this paper, we present a method for fully automatic carpal bone segmentation and feature analysis in hand X-ray radiograph. The purpose of this paper is to automatically segment the carpal bones by anisotropic diffusion and Canny edge detection techniques. By adding their respective features extracted from carpal bones ROI to the phalangeal ROI feature space, the accuracy of bone age assessment can be improved especially when the image processing in the phalangeal ROI fails in younger children.

Citation Download Citation

Aifeng Zhang, Arkadiusz Gertych, Sylwia Kurkowska-Pospiech, Brent J. Liu, and H. K. Huang "Carpal bone analysis in bone age assessment", Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 61450Z (16 March 2006); https://doi.org/10.1117/12.653858

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