Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study

, , , , , & (2023) Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study. Results in Engineering, 19, Article number: 101295.

Open access copy at publisher website

Description

Corrective osteotomy is a standard treatment for distal radius fractures in malunited radius cases. In order to increase the efficiency of the osteotomy pre-operative plan, in this study, a proof-of-concept framework of automatic computer-assisted segmentation and registration tool was developed for the purpose of malunited radius osteotomy pre-operative planning. The program consisted of the functions of segmentation, virtual cutting, automatic alignment and registration. One computed tomography (CT) scanning dataset of a patient's bilateral forearm was employed as an illustration example in this study. Three templates of 3D models including the healthy radius, and the pre- and post-correction injured radius were output as STL geometries for pre-operative plan purposes.

Impact and interest:

1 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 242058
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Wang, Jiaqiuorcid.org/0000-0001-7710-3508
Pivonka, Peterorcid.org/0000-0001-9183-530X
Fontanarosa, Davideorcid.org/0000-0001-6986-3718
Measurements or Duration: 7 pages
DOI: 10.1016/j.rineng.2023.101295
ISSN: 2590-1230
Pure ID: 141077556
Divisions: Current > Research Centres > Centre for Biomedical Technologies
Current > QUT Faculties and Divisions > Faculty of Engineering
Current > Schools > School of Mechanical, Medical & Process Engineering
Current > QUT Faculties and Divisions > Faculty of Health
Current > Schools > School of Clinical Sciences
Copyright Owner: 2023 The Author(s).
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 01 Aug 2023 03:45
Last Modified: 03 Apr 2024 09:27