Quantification of the accuracy of MRI generated 3D models of long bones
Rathnayaka, Kanchana, Momot, Konstantin, Volp, Andrew, Noser, Hansrudi, Sahama, Tony, Schuetz, Michael, & Schmutz, Beat (2009) Quantification of the accuracy of MRI generated 3D models of long bones. In 4th Asian Pacific conference of biomechanics, 14 th to 16th April 2009, Christchurch, New Zealand. (Unpublished)
Orthopaedic implants are typically designed using accurate computer tomography (CT) based 3D models of long bones. Unlike CT, magnetic resonance imaging (MRI) does not involve ionising radiation and would therefore be a suitable alternative to CT. This study aims to quantify the accuracy of MRI based 3D models of long bones. The femora of three intact cadaver ovine limbs were scanned using 1.5T MR and CT scanners. Image segmentation was performed using adaptive thresholding. Reference models were generated by digitising the dissected bone surfaces. The MR derived models were validated against reference and CT derived models.----- The MR derived models generated mean errors of 0.23, 0.25, 0.22 mm, and 0.20, 0.21, 0.20 mm compared to the reference and CT-based models, respectively. For all models, the shaft was more accurate than the distal and proximal ends. The results indicate that the accuracy of MRI-based models is comparable to that of CT-based models.
Impact and interest:
Citation countsare sourced monthly fromand 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 theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||CT, MRI, 3D bone models, Implant design, Long bones|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Institutes > Institute of Health and Biomedical Innovation
Past > Schools > School of Engineering Systems
Past > Schools > School of Physical & Chemical Sciences
|Copyright Owner:||Copyright 2009 [please consult the authors]|
|Deposited On:||30 Apr 2009 11:14|
|Last Modified:||11 Aug 2011 04:07|
Repository Staff Only: item control page