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Automatic detection of symmetry plane for computer-aided surgical simulation in craniomaxillofacial surgery

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Abstract

Symmetry plane calculation is used in fracture reduction or reconstruction in the midface. Estimating a reliable symmetry plane without advanced anatomic knowledge is the most critical challenge. In this work, we developed a new automated method to find the mid-plane in CT images of an intact skull and a skull with a unilateral midface fracture. By use of a 3D point-cloud of a skull, we demonstrate that the proposed algorithm could find a mid-plane that meets clinical criteria. There is no need for advanced anatomical knowledge through the use of this algorithm. The algorithm used principal component analysis to find the initial plane. Then the rotation matrix, derived from an iterative closest point (ICP) registration method, is used to update the normal vector of the plane and find the optimum symmetry plane. A mathematical index, Hausdorff distance (HD), is used to evaluate the similarity of one mid-plane side in comparison to the contralateral side. HD decreased by 66% in the intact skull and 65% in a fractured skull and converged in just six iterations. High convergence speed, low computational load, and high accuracy suggest the use of the algorithm in the planning procedure. This easy-to-use algorithm with its advantages, as mentioned above, could be used as an operator in craniomaxillofacial software.

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Funding

This study was funded by the Faculty of Medicine, Tehran University of Medical Sciences, under Grant Number 36938-30-04-96.

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Authors and Affiliations

  1. Departments of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

    Seyed Mohammad Reza Noori, Parastoo Farnia & Alireza Ahmadian

  2. Research Center for Biomedical Technologies and Robotics, Tehran University of Medical Sciences, Tehran, Iran

    Seyed Mohammad Reza Noori, Parastoo Farnia & Alireza Ahmadian

  3. Craniomaxillofacial Research Center, Tehran University of Medical Sciences, Tehran, Iran

    Mohammad Bayat & Naghmeh Bahrami

  4. Oral and Maxillofacial Surgery Department, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran

    Mohammad Bayat

  5. Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran

    Naghmeh Bahrami

  6. Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran

    Ali Shakourirad

  7. Department of Radiology, Tehran University of Medical Sciences, Tehran, Iran

    Ali Shakourirad

Authors
  1. Seyed Mohammad Reza Noori
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  2. Parastoo Farnia
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  3. Mohammad Bayat
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  4. Naghmeh Bahrami
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  5. Ali Shakourirad
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  6. Alireza Ahmadian
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Corresponding author

Correspondence to Alireza Ahmadian.

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The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in this study were in accordance with the ethical standards of the Tehran University of Medical Science (ethical code: IR.TUMS.MEDICINE.REC.1396.4592).

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We used archived unnamed data from Sina Hospital and Parsiss Co.

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Noori, S.M.R., Farnia, P., Bayat, M. et al. Automatic detection of symmetry plane for computer-aided surgical simulation in craniomaxillofacial surgery. Phys Eng Sci Med 43, 1087–1099 (2020). https://doi.org/10.1007/s13246-020-00909-9

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  • DOI: https://doi.org/10.1007/s13246-020-00909-9

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