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Characterization of Trabecular Architecture in Human Femur Radiographic Images Using Directional Multiresolution Transform and AdaBoost Model

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7677))

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Abstract

In this work, directional multiresolution curvelet transform is performed in radiographic images to characterize the trabecular structure. The trabecular regions of normal and abnormal human femur bone images are used for the study. The regions of interest such as femoral neck and head are analyzed and compared. The curvelet coefficients are calculated based on each scale and orientation for trabecular images. The mean and energy of the curvelet coefficients associated with each subband are computed. These values are used as the texture feature vector elements to evaluate changes taking place in the trabecular architecture. The three most significant mean and energy feature vector are found using principal component analysis and these values are used as an input to the Adaboost classifier. The results show that the architectural variations are more in the femoral neck when compared to femoral head. AdaBoost classifier performs better in terms of sensitivity (90%) and specificity (100%) for the chosen parameters for femoral neck region when compared to head regions.

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Author information

Authors and Affiliations

  1. Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai, India

    Thomas Christy Bobby

  2. Biomedical Engineering Group, Department of Applied Mechanics, IIT Madras, India

    Swaminathan Ramakrishnan

Authors
  1. Thomas Christy Bobby
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  2. Swaminathan Ramakrishnan
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, 110016, Delhi, India

    Bijaya Ketan Panigrahi

  2. Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India

    Swagatam Das

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Block N4, 2b-39, Nanyang Avenue, 639798, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  4. Department of Electronics and Telecom. Engineering, Institute of Technical Education & Research, Siksha ’O’ Anusandhan University, 751030, Bhubaneswar, Odisha, India

    Pradipta Kumar Nanda

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© 2012 Springer-Verlag Berlin Heidelberg

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Bobby, T.C., Ramakrishnan, S. (2012). Characterization of Trabecular Architecture in Human Femur Radiographic Images Using Directional Multiresolution Transform and AdaBoost Model. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_69

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  • DOI: https://doi.org/10.1007/978-3-642-35380-2_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35379-6

  • Online ISBN: 978-3-642-35380-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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