Literature DB >> 10834252

The application of computer aided product development techniques in medical modelling topic: rehabilitation and prostheses.

R Bibb1, R Brown.   

Abstract

When considering reconstructive surgery it is often difficult to ascertain the exact nature of affected internal anatomy. Although advances in Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) have enabled the generation of 3D reconstructions of internal anatomy, they are often only available as fixed 2D images. These may obscure important details or prove ambiguous depending upon the angle of view. Another problem is maintaining accuracy of reconstruction that may involve osteotomy, tissue grafts or implants. In such circumstances the ability to plan and rehearse complex procedures can prove invaluable, greatly improving surgical results whilst helping to eliminate potential errors and reducing theatre time. In this context 3D scan data can be treated as the equivalent of Computer Aided Design (CAD) data and can be applied to the production of accurate physical models. The approach undertaken by the DERC is based on close collaboration with surgical departments and enables the rapid and economic production of medical models based on CT/MRI data. This paper illustrates the transfer of product design technologies into a clinical context. Specifically, the use of 3D surface scanning and rapid prototyping technologies as an aid to post operative reconstruction is described. An evaluation of the application of product development tools within a clinical context is presented. The paper concludes with an assessment of likely future application in this area.

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Mesh:

Year:  2000        PMID: 10834252

Source DB:  PubMed          Journal:  Biomed Sci Instrum        ISSN: 0067-8856


  1 in total

1.  Adaptation and micro-structure of Co-Cr alloy maxillary complete denture base plates fabricated by selective laser melting technique.

Authors:  Ye Ye; Ting Jiao; Jiarui Zhu; Jian Sun
Journal:  Lasers Med Sci       Date:  2018-01-24       Impact factor: 3.161

  1 in total

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