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Proceedings Paper

Content-based image retrieval applied to bone age assessment
Author(s): Benedikt Fischer; André Brosig; Petra Welter; Christoph Grouls; Rolf W. Günther; Thomas M. Deserno
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Paper Abstract

Radiological bone age assessment is based on local image regions of interest (ROI), such as the epiphysis or the area of carpal bones. These are compared to a standardized reference and scores determining the skeletal maturity are calculated. For computer-aided diagnosis, automatic ROI extraction and analysis is done so far mainly by heuristic approaches. Due to high variations in the imaged biological material and differences in age, gender and ethnic origin, automatic analysis is difficult and frequently requires manual interactions. On the contrary, epiphyseal regions (eROIs) can be compared to previous cases with known age by content-based image retrieval (CBIR). This requires a sufficient number of cases with reliable positioning of the eROI centers. In this first approach to bone age assessment by CBIR, we conduct leaving-oneout experiments on 1,102 left hand radiographs and 15,428 metacarpal and phalangeal eROIs from the USC hand atlas. The similarity of the eROIs is assessed by cross-correlation of 16x16 scaled eROIs. The effects of the number of eROIs, two age computation methods as well as the number of considered CBIR references are analyzed. The best results yield an error rate of 1.16 years and a standard deviation of 0.85 years. As the appearance of the hand varies naturally by up to two years, these results clearly demonstrate the applicability of the CBIR approach for bone age estimation.

Paper Details

Date Published: 9 March 2010
PDF: 10 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762412 (9 March 2010); doi: 10.1117/12.844392
Show Author Affiliations
Benedikt Fischer, RWTH Aachen Univ. (Germany)
André Brosig, RWTH Aachen Univ. (Germany)
Petra Welter, RWTH Aachen Univ. (Germany)
Christoph Grouls, RWTH Aachen Univ. (Germany)
Rolf W. Günther, RWTH Aachen Univ. (Germany)
Thomas M. Deserno, RWTH Aachen Univ. (Germany)

Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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