Literature DB >> 10709694

Three-dimensional computer vision for tooth restoration.

D Paulus1, M Wolf, S Meller, H Niemann.   

Abstract

If a person with carious lesions needs or requests crowns or inlays, these dental fillings have to be manufactured for each tooth and each person individually. We survey computer vision techniques which can be used to automate this process. We introduce three particular applications which are concerned with the reconstruction of surface information. The first one aims at building up a database of normalized depth images of posterior teeth and at extracting characteristic features from these images. In the second application, a given occlusal surface of a posterior tooth with a prepared cavity is digitally reconstructed using an intact model tooth from a given database. The calculated surface data can then be used for automatic milling of a dental prosthesis, e.g. from a preshaped ceramic block. In the third application a hand-made provisoric wax inlay or crown can be digitally scanned by a laser sensor and copied three dimensionally into a different material such as ceramic. The results are converted to a format required by the computer-integrated manufacturing (CIM) system for automatic milling.

Entities:  

Mesh:

Year:  1999        PMID: 10709694     DOI: 10.1016/s1361-8415(99)80013-9

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  4 in total

1.  Single-Tooth Modeling for 3D Dental Model.

Authors:  Tianran Yuan; Wenhe Liao; Ning Dai; Xiaosheng Cheng; Qing Yu
Journal:  Int J Biomed Imaging       Date:  2010-06-20

2.  Reconstruction-Based Digital Dental Occlusion of the Partially Edentulous Dentition.

Authors:  Jian Zhang; James J Xia; Jianfu Li; Xiaobo Zhou
Journal:  IEEE J Biomed Health Inform       Date:  2015-11-12       Impact factor: 5.772

3.  Occlusion and Disocclusion Time Changes in Single Unit Crowns Designed by Functional Generated Path Technique: A Randomised Clinical Trial.

Authors:  Ping-Ting Lin; Yang Jiao; San-Jun Zhao; Fu Wang; Ling Li; Fan Yu; Min Tian; Hao-Han Yu; Ji-Hua Chen
Journal:  Sci Rep       Date:  2017-03-24       Impact factor: 4.379

4.  DISR: Dental Image Segmentation and Retrieval.

Authors:  Abdol Hamid Pilevar
Journal:  J Med Signals Sens       Date:  2012-01
  4 in total

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