Literature DB >> 29602352

Precision and reliability of Dolphin 3-dimensional voxel-based superimposition.

Mohamed Bazina1, Lucia Cevidanes2, Antonio Ruellas3, Manish Valiathan4, Faisal Quereshy5, Ali Syed6, Rongning Wu4, J Martin Palomo4.   

Abstract

INTRODUCTION: Superimposition of 2 cone-beam computed tomography images is possible by using landmarks, surfaces, or density information (voxel-based). Voxel-based superimposition is automated and uses the most image content, providing accurate results. Until recently, this superimposition was extremely laborious, but a user-friendly voxel-based superimposition has recently been introduced. Our aim was to evaluate the precision and reliability of Dolphin 3-dimensional voxel-based superimposition (Dolphin Imaging, Chatsworth, Calif).
METHODS: This was a retrospective study using existing scans of 31 surgical orthodontic patients with a mean age of 21 ± 8 years (range, 15-47 years). Each patient had a presurgical and a postsurgical scan taken within 12 months. Surgical patients were used since the reference area for superimposition was not affected by growth or surgical procedures. The volumes were superimposed using voxel-based methods from Dolphin Imaging and a tested method used previously. This method uses 2 open-source programs and takes about 3 hours to complete, whereas the Dolphin method takes under 5 minutes. The postsurgical scan was superimposed on the presurgical scan at the cranial base. Postsurgical registrations for both methods were compared with each other using the absolute closest point color map, with emphasis on 7 regions (nasion, A-point, B-point, bilateral zygomatic arches, and bilateral gonions).
RESULTS: Intraclass correlations showed excellent reliability (0.96). The mean differences between the 2 methods were less than 0.21 mm (voxel size, 0.38). The smallst difference was in the left zygomatic area at 0.09 ± 0.07 mm, and the largest was in the right gonial region at 0.21 ± 0.13 mm.
CONCLUSIONS: Dolphin 3-dimensional voxel-based superimposition, a fast and user-friendly method, is precise and reliable.
Copyright © 2018 American Association of Orthodontists. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29602352     DOI: 10.1016/j.ajodo.2017.07.025

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  14 in total

1.  How does bimaxillary orthognathic surgery change dimensions of maxillary sinuses and pharyngeal airway space?

Authors:  Luiza Roberta Bin; Liogi Iwaki Filho; Amanda Lury Yamashita; Gustavo Nascimento de Souza Pinto; Rui Amaral Mendes; Adilson Luiz Ramos; Isolde Terezinha Dos Santos Previdelli; Lilian Cristina Vessoni Iwaki
Journal:  Angle Orthod       Date:  2020-09-01       Impact factor: 2.079

2.  kVp, mA, and voxel size effect on 3D voxel-based superimposition.

Authors:  Manhal Eliliwi; Mohamed Bazina; Juan Martin Palomo
Journal:  Angle Orthod       Date:  2019-09-24       Impact factor: 2.079

3.  The clinical study of CBCT imaging technology in the restoration of upper anterior teeth of the elderly.

Authors:  Sixuan Liu; Suyu Wang; Yabin Du; Wanjun Zhang; Xiuqing Cui; Jinmei Xing; Yanjing Zang
Journal:  Am J Transl Res       Date:  2021-06-15       Impact factor: 4.060

Review 4.  3D superimposition of craniofacial imaging-The utility of multicentre collaborations.

Authors:  Marilia Yatabe; Juan Carlos Prieto; Martin Styner; Hongtu Zhu; Antonio Carlos Ruellas; Beatriz Paniagua; Francois Budin; Erika Benavides; Brandon Shoukri; Loic Michoud; Nina Ribera; Lucia Cevidanes
Journal:  Orthod Craniofac Res       Date:  2019-05       Impact factor: 1.826

Review 5.  Computed tomography imaging superimposition protocols to assess outcomes in orthognathic surgery: a systematic review with comprehensive recommendations.

Authors:  Fernando de Oliveira Andriola; Orion Luiz Haas Junior; Raquel Guijarro-Martínez; Federico Hernández-Alfaro; Rogério Belle de Oliveira; Rogério Miranda Pagnoncelli; Gwen Rj Swennen
Journal:  Dentomaxillofac Radiol       Date:  2021-09-14       Impact factor: 2.419

6.  In-vitro assessment of the accuracy and reliability of mandibular dental model superimposition based on voxel-based cone-beam computed tomography registration.

Authors:  Gaofeng Han; Jing Li; Shuo Wang; Yan Liu; Xuedong Wang; Yanheng Zhou
Journal:  Korean J Orthod       Date:  2019-03-19       Impact factor: 1.372

7.  A User-Friendly Protocol for Mandibular Segmentation of CBCT Images for Superimposition and Internal Structure Analysis.

Authors:  Chenshuang Li; Leanne Lin; Zhong Zheng; Chun-Hsi Chung
Journal:  J Clin Med       Date:  2021-01-01       Impact factor: 4.241

8.  A Superimposition-Based Cephalometric Method to Quantitate Craniofacial Changes.

Authors:  Nameer Al-Taai; Eva Levring Jäghagen; Maurits Persson; Maria Ransjö; Anna Westerlund
Journal:  Int J Environ Res Public Health       Date:  2021-05-14       Impact factor: 3.390

9.  Assessment of methods used for 3-dimensional superimposition of craniofacial skeletal structures: a systematic review.

Authors:  Daniel Dinh-Phuc Mai; Sven Stucki; Nikolaos Gkantidis
Journal:  PeerJ       Date:  2020-06-05       Impact factor: 2.984

10.  Architectural changes in alveolar bone for dental decompensation before surgery in Class III patients with differing facial divergence: a CBCT study.

Authors:  Chung-Chen Jane Yao; Zwei-Chieng Chang; Hsiang-Hua Lai; Li-Fang Hsu; Hann-Min Hwang; Yi-Jane Chen
Journal:  Sci Rep       Date:  2020-09-01       Impact factor: 4.379

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