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Comparison of the Accuracy of Voxel Based Registration and Surface Based Registration for 3D Assessment of Surgical Change following Orthognathic Surgery

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  • Anas Almukhtar
  • Xiangyang Ju
  • Balvinder Khambay
  • James McDonald
  • Ashraf Ayoub

Abstract

Purpose: Superimposition of two dimensional preoperative and postoperative facial images, including radiographs and photographs, are used to evaluate the surgical changes after orthognathic surgery. Recently, three dimensional (3D) imaging has been introduced allowing more accurate analysis of surgical changes. Surface based registration and voxel based registration are commonly used methods for 3D superimposition. The aim of this study was to evaluate and compare the accuracy of the two methods. Materials and methods: Pre-operative and 6 months post-operative cone beam CT scan (CBCT) images of 31 patients were randomly selected from the orthognathic patient database at the Dental Hospital and School, University of Glasgow, UK. Voxel based registration was performed on the DICOM images (Digital Imaging Communication in Medicine) using Maxilim software (Medicim-Medical Image Computing, Belgium). Surface based registration was performed on the soft and hard tissue 3D models using VRMesh (VirtualGrid, Bellevue City, WA). The accuracy of the superimposition was evaluated by measuring the mean value of the absolute distance between the two 3D image surfaces. The results were statistically analysed using a paired Student t-test, ANOVA with post-hoc Duncan test, a one sample t-test and Pearson correlation coefficient test. Results: The results showed no significant statistical difference between the two superimposition methods (p

Suggested Citation

  • Anas Almukhtar & Xiangyang Ju & Balvinder Khambay & James McDonald & Ashraf Ayoub, 2014. "Comparison of the Accuracy of Voxel Based Registration and Surface Based Registration for 3D Assessment of Surgical Change following Orthognathic Surgery," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-6, April.
    • Handle: RePEc:plo:pone00:0093402
    DOI: 10.1371/journal.pone.0093402
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    Cited by:

    1. Jianhua Zhang & Lei Chen & Xiaoyan Wang & Zhongzhao Teng & Adam J Brown & Jonathan H Gillard & Qiu Guan & Shengyong Chen, 2014. "Compounding Local Invariant Features and Global Deformable Geometry for Medical Image Registration," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-11, August.
    2. Andrea Cassoni & Luigi Manganiello & Giorgio Barbera & Paolo Priore & Maria Teresa Fadda & Resi Pucci & Valentino Valentini, 2022. "Three-Dimensional Comparison of the Maxillary Surfaces through ICP-Type Algorithm: Accuracy Evaluation of CAD/CAM Technologies in Orthognathic Surgery," IJERPH, MDPI, vol. 19(18), pages 1-10, September.
    3. Se-Won Park & Ra Gyoung Yoon & Hyunwoo Lee & Heon-Jin Lee & Yong-Do Choi & Du-Hyeong Lee, 2020. "Impacts of Thresholds of Gray Value for Cone-Beam Computed Tomography 3D Reconstruction on the Accuracy of Image Matching with Optical Scan," IJERPH, MDPI, vol. 17(17), pages 1-11, September.

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