Cone-beam CT superimposition and visualization using open-source softwares

오픈-소스 소프트웨어를 이용한 콘빔 전산화단층영상의 중첩 및 시각화

  • Jeon, Woo-Ram (Department of Orthodontics, School of Dentistry, Chosun University) ;
  • Lim, Sung-Hoon (Department of Orthodontics, School of Dentistry, Chosun University)
  • 전우람 (조선대학교 치과대학 치과교정학교실) ;
  • 임성훈 (조선대학교 치과대학 치과교정학교실)
  • Received : 2018.07.03
  • Accepted : 2018.08.16
  • Published : 2018.09.30

Abstract

ITK-SNAP (http://www.itksnap.org) and 3D Slicer (CMFreg extension module; www.slicer.org) are open-source softwares which can be used for superimposition of cone-beam CT images. For superimposition, segmentation of bone is done with ITK-SNAP, and then voxel based superimposition of CBCT images can be performed using 3D Slicer. 3D Slicer has various visualization modules which are not provided in common commercial programs. 'Models' module is used to visualize two overlapping three-dimensional images, and this allows various visualizations by changing view mode and color of the model. In addition, differences between two CBCT images can be represented in a color map using 'ShapePopulationViewer' module. This report introduces how to superimpose and visualize CBCT images using ITK-SNAP and 3D Slicer, and the usefulness and limitations of both softwares will be discussed in comparison with commercial softwares.

Keywords

References

  1. Ludlow JB, Gubler M, Cevidanes L, Mol A. Precision of cephalometric landmark identification: cone-beam computed tomography vs conventional cephalometric views. Am J Orthod Dentofacial Orthop 2009;136(3):312.e1-e10. https://doi.org/10.1016/j.ajodo.2009.04.009
  2. Melsen B. The cranial base. The postnatal development of the cranial base studied histologically on human autopsy material. Acta Odontol Scand 1974;32(Suppl 62):86-101.
  3. 단행본: 전국 치과대학?치의학전문대학원 치과교정학 교수협의회. 치과교정학. 제3판. 지성출판사. 2014. 340.(한글)
  4. Nguyen T, Cevidanes L, Franchi L, Ruellas A, and Jackson T. Three-dimensional mandibular regional superimposition in growing patients. Am J Orthod Dentofacial Orthop 2018;153:747-54 https://doi.org/10.1016/j.ajodo.2017.07.026
  5. Weissheimer, A., Menezes, L.M., Sameshima, G.T., Enciso, R., Pham, J., and Grauer, D. Imaging software accuracy for 3-dimensional analysis of the upper airway. Am J Orthod Dentofacial Orthop 2012;142:801-13 https://doi.org/10.1016/j.ajodo.2012.07.015
  6. Bazina M, Cevidanes L, Ruellas A, Valiathan M, Quereshy F, Syed A, Wu R, and Palomo JM. Precision and reliability of Dolphin 3-dimensional voxel-based superimposition. Am J Orthod Dentofacial Orthop 2018;153:599-606 https://doi.org/10.1016/j.ajodo.2017.07.025
  7. Ong SC, Khambay BS, McDonald JP, Cross DL, Brocklebank LK, Ju X. The novel use of threedimensional surface models to quantify and visualize the immediate changes of the mid-facial skeleton following rapid maxillary expansion. Surgeon 2015;13:132-8.s https://doi.org/10.1016/j.surge.2013.10.012
  8. Gkantidis N, Schauseil M, Pazera P, Zorkun B, Katsaros C, Ludwing B. Evaluation of 3-dimensional superimposition techniques on various skeletal structures of the head using surface models. PLoS One 2015;10(2):e0118810. https://doi.org/10.1371/journal.pone.0118810
  9. Cevidanes LH, Motta A, Proffit WR, Ackerman JL, Styner MA. Cranial base superimposition for 3-dimensional evaluation of softtissue changes. Am J Orhtod Dentofacial Orthop 2010; 137(Suppl):S120-9. https://doi.org/10.1016/j.ajodo.2009.04.021
  10. Almukhtar A, Ju X, Khambay B, McDonald J, Ayoub A. Comparison of the accuracy of voxel based registration and surface based registration for 3D assessment of surgical change following orthognathic surgery. PLoS One 2014;9(4):e93402. https://doi.org/10.1371/journal.pone.0093402