Literature DB >> 25643460

Soft tissue-preserving computer-aided impression: a novel concept using ultrasonic 3D-scanning.

Thorsten Vollborn, Daniel Habor, Fabrice Chuembou Pekam, Stefan Heger, Juliana Marotti, Sven Reich, Stefan Wolfart, Joachim Tinschert, Klaus Radermacher.   

Abstract

Subgingival preparations are often affected by blood and saliva during impression taking, regardless of whether one is using compound impression techniques or intraoral digital scanning methods. The latter are currently based on optical principles and therefore also need clean and dry surfaces. In contrast, ultrasonic waves are able to non-invasively penetrate gingiva, saliva, and blood, leading to decisive advantages, as cleaning and drying of the oral cavity becomes unnecessary. In addition, the application of ultrasound may facilitate the detection of subgingival structures without invasive manipulation, thereby reducing the risk of secondary infection and treatment time, and increasing patient comfort. Ultrasound devices commonly available for medical application and for the testing of materials are only suitable to a limited extent, as their resolution, precision, and design do not fulfill the requirements for intraoral scanning. The aim of this article is to describe the development of a novel ultrasound technology that enables soft tissue-preserving digital impressions of preparations for the CAD/CAM-based production of dental prostheses. The concept and development of the high-resolution ultrasound technique and the corresponding intraoral scanning system, as well as the integration into the CAD/CAM process chain, is presented.

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Year:  2014        PMID: 25643460

Source DB:  PubMed          Journal:  Int J Comput Dent        ISSN: 1463-4201            Impact factor:   1.883


  2 in total

1.  Histo-anatomic 3D printing of dental structures.

Authors:  J Schweiger; F Beuer; M Stimmelmayr; D Edelhoff; P Magne; J F Güth
Journal:  Br Dent J       Date:  2016-11-04       Impact factor: 1.626

2.  High-Frequency Ultrasound for Assessment of Peri-Implant Bone Thickness.

Authors:  Juliana Marotti; Sarah Neuhaus; Daniel Habor; Lauren Bohner; Stefan Heger; Klaus Radermacher; Stefan Wolfart
Journal:  J Clin Med       Date:  2019-09-25       Impact factor: 4.241

  2 in total

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