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Model-based segmentation of pediatric and adult joints for orthopedic measurements in digital radiographs of the lower limbs

  • Special Issue Paper
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Computer Science - Research and Development

Abstract

The growth of human bones forms a major problem when automatically segmenting orthopedic radiographs. Any template-based segmentation methods fails to fully capture these non-linear developments. However to extract orthopedic measurements or the bone age for patients of arbitrary age it is mandatory to have a segmentation scheme that deals with growth related changes. In this paper we propose a robust method based on Active Shape Models (ASMs) that on the one hand is invariant against the patient’s age and on the other hand generalizes well over the large inter-patient variability. Our method achieves an accuracy of 0.48 mm for adult patients and 0.64 mm for children on a large test set of 180 images, with the patient’s age covering a high range from less than one month to 93 years.

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Authors and Affiliations

  1. Vision Systems, Hamburg University of Technology, Harburger Schloßstraße 20, 21079, Hamburg, Deutschland

    André Gooßen, Thorsten Gernoth & Rolf-Rainer Grigat

  2. Diagnostic X-Ray, Philips Healthcare, Röntgenstraße 24-26, 22335, Hamburg, Deutschland

    Eugen Hermann, Georg Martin Weber & Thomas Pralow

Authors
  1. André Gooßen
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  2. Eugen Hermann
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  3. Georg Martin Weber
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  4. Thorsten Gernoth
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  5. Thomas Pralow
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  6. Rolf-Rainer Grigat
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Correspondence to André Gooßen.

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Gooßen, A., Hermann, E., Weber, G.M. et al. Model-based segmentation of pediatric and adult joints for orthopedic measurements in digital radiographs of the lower limbs. Comput Sci Res Dev 26, 107–116 (2011). https://doi.org/10.1007/s00450-010-0139-8

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  • DOI: https://doi.org/10.1007/s00450-010-0139-8

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