Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis

  • Jérôme ThevenotEmail author
  • Jie Chen
  • Mikko Finnilä
  • Miika Nieminen
  • Petri Lehenkari
  • Simo Saarakkala
  • Matti Pietikäinen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8926)


Osteoarthritis (OA) causes progressive degeneration of articular cartilage and pathological changes in subchondral bone. These changes can be assessed volumetrically using micro-computed tomography (\(\mu \)CT) imaging. The local descriptor, i.e. local binary pattern (LBP), is a new alternative solution to perform analysis of local bone structures from \(\mu \)CT scans. In this study, different trabecular bone samples were prepared from patients diagnosed with OA and treated with total knee arthroplasty. The LBP descriptor was applied to correlate the distribution of local patterns with the severity of the disease. The results obtained suggest the appearance and disappearance of specific oriented patterns with OA, as an adaptation of the bone to the decrease of cartilage thickness. The experimental results suggest that the LBP descriptor can be used to assess the changes in the trabecular bone due to OA.


Bone structural analysis Micro-CT Osteoarthritis Multiscale LBP 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jérôme Thevenot
    • 1
    • 2
    • 3
    Email author
  • Jie Chen
    • 3
  • Mikko Finnilä
    • 1
    • 2
  • Miika Nieminen
    • 2
  • Petri Lehenkari
    • 2
  • Simo Saarakkala
    • 1
    • 2
  • Matti Pietikäinen
    • 3
  1. 1.Department of Medical TechnologyUniversity of OuluOuluFinland
  2. 2.MRCOulu University Hospital and University of OuluOuluFinland
  3. 3.Department of Computer Science and EngineeringUniversity of OuluOuluFinland

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