Literature DB >> 25564886

Three-dimensional reconstruction of teeth and jaws based on segmentation of CT images using watershed transformation.

S S Naumovich1, S A Naumovich, V G Goncharenko.   

Abstract

The objective of the present study was the development and clinical testing of a three-dimensional (3D) reconstruction method of teeth and a bone tissue of the jaw on the basis of CT images of the maxillofacial region. 3D reconstruction was performed using the specially designed original software based on watershed transformation. Computed tomograms in digital imaging and communications in medicine format obtained on multispiral CT and CBCT scanners were used for creation of 3D models of teeth and the jaws. The processing algorithm is realized in the stepwise threshold image segmentation with the placement of markers in the mode of a multiplanar projection in areas relating to the teeth and a bone tissue. The developed software initially creates coarse 3D models of the entire dentition and the jaw. Then, certain procedures specify the model of the jaw and cut the dentition into separate teeth. The proper selection of the segmentation threshold is very important for CBCT images having a low contrast and high noise level. The developed semi-automatic algorithm of multispiral and cone beam computed tomogram processing allows 3D models of teeth to be created separating them from a bone tissue of the jaws. The software is easy to install in a dentist's workplace, has an intuitive interface and takes little time in processing. The obtained 3D models can be used for solving a wide range of scientific and clinical tasks.

Keywords:  3D dental model; computer-assisted image processing; cone beam computed tomography; digital dentistry; spiral computed tomography

Mesh:

Year:  2015        PMID: 25564886      PMCID: PMC4628431          DOI: 10.1259/dmfr.20140313

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  10 in total

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Review 4.  Classification and numbering of teeth in multi-slice CT images using wavelet-Fourier descriptor.

Authors:  Mohammad Hosntalab; Reza Aghaeizadeh Zoroofi; Ali Abbaspour Tehrani-Fard; Gholamreza Shirani
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Authors:  Nguyen The Duy; Hans Lamecker; Dagmar Kainmueller; Stefan Zachow
Journal:  Med Image Comput Comput Assist Interv       Date:  2012

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Authors:  Dong Xu Ji; Sim Heng Ong; Kelvin Weng Chiong Foong
Journal:  Comput Biol Med       Date:  2014-05-01       Impact factor: 4.589

9.  Tooth shape reconstruction from dental CT images with the region-growing method.

Authors:  R Yanagisawa; Y Sugaya; S Kasahara; S Omachi
Journal:  Dentomaxillofac Radiol       Date:  2014-05-02       Impact factor: 2.419

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Authors:  Sandro Barone; Alessandro Paoli; Armando Viviano Razionale
Journal:  Sensors (Basel)       Date:  2013-02-05       Impact factor: 3.576

  10 in total
  6 in total

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2.  Assessment of automatic segmentation of teeth using a watershed-based method.

Authors:  Antoine Galibourg; Jean Dumoncel; Norbert Telmon; Adèle Calvet; Jérôme Michetti; Delphine Maret
Journal:  Dentomaxillofac Radiol       Date:  2017-11-01       Impact factor: 2.419

3.  Refined tooth and pulp segmentation using U-Net in CBCT image.

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4.  Computed Tomography versus Optical Scanning: A Comparison of Different Methods of 3D Data Acquisition for Tooth Replication.

Authors:  Tomasz Kulczyk; Michał Rychlik; Dorota Lorkiewicz-Muszyńska; Monica Abreu-Głowacka; Agata Czajka-Jakubowska; Agnieszka Przystańska
Journal:  Biomed Res Int       Date:  2019-04-10       Impact factor: 3.411

5.  Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment.

Authors:  Suk-Cheol Lee; Hyeon-Shik Hwang; Kyungmin Clara Lee
Journal:  Prog Orthod       Date:  2022-05-09       Impact factor: 3.247

6.  Preliminary comparison of three-dimensional reconstructed palatal morphology in subjects with different sagittal and vertical patterns.

Authors:  Xiaoyi Huang; Xinnong Hu; Yijiao Zhao; Yong Wang; Yan Gu
Journal:  BMC Oral Health       Date:  2020-02-17       Impact factor: 2.757

  6 in total

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