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Combined SCP and Geometric Reconstruction of Spine from Biplanar Radiographs

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

Three-dimensional reconstruction of the spine is necessary in proper diagnosis of various spinal deformities. This is normally achieved using stereo-radiographic techniques involving biplanar (frontal and lateral) radiographs. Either stereo-corresponding point (SCP) algorithm or non-stereo-corresponding point (NSCP) algorithm is used for this purpose. The NSCP technique suffers from observer variability. Moreover, it is time consuming. Hence, it has restricted usage in clinical environment. Here, a hybrid approach is proposed in which a 3D spine model is reconstructed by applying geometric features to the SCP reconstructed model. The vertebral orientation features are automatically extracted from the calibrated radiographs. The 3D model thus produced is successfully validated. The proposed method has lesser observer variability due to the limited number of anatomical landmarks. Also, the reconstruction errors are within the acceptable limits available in the literature. Thus, the proposed technique can be used in clinical practices for the diagnosis of spinal deformities.

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Acknowledgments

The authors would like to acknowledge the Department of Science and Technology (DST), Government of India. This project is funded under a SERB-DST, Fast Track Scheme for Young Scientists. The authors also recognize the help extended by the faculty, Kasturba Medical College, Manipal, in data acquisition and expert opinion.

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Authors and Affiliations

  1. Department of Electronics and Communication, Manipal Institute of Technology, Manipal, India

    Sampath Kumar & K. Prabhakar Nayak

  2. Department of Computer Applications, Manipal Institute of Technology, Manipal, India

    K. S. Hareesha

Authors
  1. Sampath Kumar
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  2. K. Prabhakar Nayak
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  3. K. S. Hareesha
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Corresponding author

Correspondence to Sampath Kumar .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Sampath Kumar, Nayak, K.P., Hareesha, K.S. (2016). Combined SCP and Geometric Reconstruction of Spine from Biplanar Radiographs. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_21

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  • DOI: https://doi.org/10.1007/978-981-10-0451-3_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0450-6

  • Online ISBN: 978-981-10-0451-3

  • eBook Packages: EngineeringEngineering (R0)

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