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Model-Based Segmentation, Reconstruction and Analysis of the Vertebral Body from Spinal CT

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Spinal Imaging and Image Analysis

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 18))

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Abstract

In this chapter, we present novel vertebral body segmentation methods in computed tomography (CT) images. Three pieces of information (intensity, spatial interaction, and shape) are modeled to optimize new probabilistic energy functions; and hence to obtain the optimum segmentation. The information of the intensity and spatial interaction are modeled using the Gaussian and Gibbs distribution, respectively. A shape model is proposed using new probabilistic functions to enhance the segmentation results. The models are generic shape information which is obtained using the cervical, lumbar, and thoracic spinal regions. The proposed methods are validated with clinical CT images and on a phantom with various Gaussian noise levels. This study reveals that the proposed methods are robust under various noise levels, less variant to the initialization, and quite faster than alternative methods. Applications on bone mineral density (BMD) measurements of vertebral body are given to illustrate the accuracy of the proposed segmentation approach.

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Notes

  1. 1.

    All algorithms are run on a PC with a 2 GHz Core i7 Quad processor with 6 GB RAM.

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Authors and Affiliations

  1. Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY, USA

    Melih Aslan, Ahmed Shalaby & Aly A. Farag

  2. Computer Science Department, Wayne State University, Detroit, MI, USA

    Melih Aslan

  3. Electrical Engineering Department, Assiut University, Assiut, Egypt

    Asem Ali

Authors
  1. Melih Aslan
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  2. Ahmed Shalaby
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  3. Asem Ali
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  4. Aly A. Farag
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Corresponding author

Correspondence to Aly A. Farag .

Editor information

Editors and Affiliations

  1. GE Healthcare and University of Western Ontario, London, Ontario, Canada

    Shuo Li

  2. Clinical Center, National Institutes of Health, Bethesda, Maryland, USA

    Jianhua Yao

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Aslan, M., Shalaby, A., Ali, A., Farag, A.A. (2015). Model-Based Segmentation, Reconstruction and Analysis of the Vertebral Body from Spinal CT. In: Li, S., Yao, J. (eds) Spinal Imaging and Image Analysis. Lecture Notes in Computational Vision and Biomechanics, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-12508-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-12508-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12507-7

  • Online ISBN: 978-3-319-12508-4

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