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Cost-effective solutions and tools for medical image processing and design of personalised cranioplasty implants

Pham, B. M., Le, C. H., Do, N. T., Vo, D. L., Le, T., Lee, R., Packianather, M. S. and Mengistu, S. 2018. Cost-effective solutions and tools for medical image processing and design of personalised cranioplasty implants. Presented at: BME 2017: International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh, Vietnam, 27-29 June 2017. Published in: Van, T. V., Nguyen Le, T. A. and Nguyen Duc, T. eds. 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). IFMBE Proceedings Singapore: Springer, pp. 397-402. 10.1007/978-981-10-4361-1_67

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Abstract

Cranial defects which are caused by bone tumors or traffic accidents are treated by cranioplasty techniques. Cranioplasty implants are required to protect the underlying brain, correct major aesthetic deformities, or both. With the rapid development of computer graphics, medical image processing (MIP) and manufacturing technologies in recent decades, nowadays, personalised cranioplasty implants can be designed and made to improve the quality of cranial defect treatments. However, software tools for MIP and 3D modelling of implants are expensive; and they normally require high technical skills. Especially, the process of design and development of personalised cranioplasty implants normally requires a multidisciplinary team, including experts in MIP, 3D design and modelling, and Biomedical Engineering; this leads to challenges and difficulties for technology transfers and implementations in hospitals. This research is aimed at developing, in particular, cost-effective solutions and tools for design and modeling of personalised cranioplasty implants, and to simplify the design and modelling of implants, as well as to reduce the design and modeling time. In this way, surgeons and engineers can conveniently and easily design personalised cranioplasty implants, without the need of using complex MIP and CAD tools; and as a result the cost of implants will be minimised.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Springer
ISBN: 978-981-10-4361-1
ISSN: 1433-9277
Last Modified: 13 Aug 2019 12:38
URI: http://orca-mwe.cf.ac.uk/id/eprint/120407

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