Paper
9 March 2010 Content-based image retrieval applied to bone age assessment
Benedikt Fischer, André Brosig, Petra Welter, Christoph Grouls, Rolf W. Günther, Thomas M. Deserno
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benedikt Fischer, André Brosig, Petra Welter, Christoph Grouls, Rolf W. Günther, and Thomas M. Deserno "Content-based image retrieval applied to bone age assessment", Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762412 (9 March 2010); https://doi.org/10.1117/12.844392
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CITATIONS
Cited by 16 scholarly publications and 1 patent.
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KEYWORDS
Bone

Radiography

Databases

Content based image retrieval

Image retrieval

Medical imaging

Biological research

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