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Automatic Identification of Genu Valgum From Tibio-Femoral Short Radiographs

[+] Author Affiliations
Pedro Antonio Nájera-Olvera

SYSU-CMU Joint Institute of Engineering, Pittsburgh, PA

Prahlad G. Menon

University of Pittsburgh, Pittsburgh, PA

Paper No. IMECE2015-50206, pp. V003T03A084; 5 pages
  • ASME 2015 International Mechanical Engineering Congress and Exposition
  • Volume 3: Biomedical and Biotechnology Engineering
  • Houston, Texas, USA, November 13–19, 2015
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5738-0
  • Copyright © 2015 by ASME


Genu valgum is a cause of knee pain and early arthritis which requires therapeutic action with external braces or surgery at a young age. This paper describes an image processing workflow and validation study for automatic characterization of the valgus deformity (i.e. genu valgum) from tibio-femoral x-ray radiographs. We implement an image processing pipeline starting with basic filtering and bone segmentation, followed by application of a Hough transform to determine the centerline of the diaphyses of the femur and tibia based on which a TF subtended angle is measured for each leg. Feasibility of this workflow is demonstrated on 21 short TF radiographs. The automatically computed angles were highly correlated (r2 = 0.85 and p≪0.001) to the ground truth with a mean absolute error as low as 1.97°.

Copyright © 2015 by ASME



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