Literature DB >> 23266152

Digital planning of cranial implants.

Wicher J van der Meer1, Ruud R M Bos, Arjan Vissink, Anita Visser.   

Abstract

Computer-aided techniques can be used in the reconstruction of defects in the skull, although there are limitations for large defects. We describe a technique for the digital design of an implant for cranioplasty using one, easy-to-use, piece of generic industrial software that shows a curvature-based, hole-filling algorithm. This approach is suitable for all kinds of defects, including those that extend across the midline of the skull. The workflow gives the user full control over the design, production, and material used for the implant.
Copyright © 2012 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23266152     DOI: 10.1016/j.bjoms.2012.11.012

Source DB:  PubMed          Journal:  Br J Oral Maxillofac Surg        ISSN: 0266-4356            Impact factor:   1.651


  4 in total

Review 1.  A review on computer-aided design and manufacturing of patient-specific maxillofacial implants.

Authors:  Afaque Rafique Memon; Enpeng Wang; Junlei Hu; Jan Egger; Xiaojun Chen
Journal:  Expert Rev Med Devices       Date:  2020-03-12       Impact factor: 3.166

2.  Three-dimensional virtual operations can facilitate complicated surgical planning for the treatment of patients with jaw deformities associated with facial asymmetry: a case report.

Authors:  Shingo Hara; Masaharu Mitsugi; Takahiro Kanno; Akihiko Nomachi; Takehiko Wajima; Yukihiro Tatemoto
Journal:  Int J Oral Sci       Date:  2013-08-02       Impact factor: 6.344

3.  Computer-aided implant design for the restoration of cranial defects.

Authors:  Xiaojun Chen; Lu Xu; Xing Li; Jan Egger
Journal:  Sci Rep       Date:  2017-06-23       Impact factor: 4.379

4.  Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software.

Authors:  Jan Egger; Markus Gall; Alois Tax; Muammer Ücal; Ulrike Zefferer; Xing Li; Gord von Campe; Ute Schäfer; Dieter Schmalstieg; Xiaojun Chen
Journal:  PLoS One       Date:  2017-03-06       Impact factor: 3.240

  4 in total

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