Quantification of the accuracy of MRI generated 3D models of long bones compared to CT generated 3D models
Rathnayaka, Kanchana, Momot, Konstantin I., Noser, Hansrudi, Volp, Andrew, Schuetz, Michael A., Sahama, Tony, & Schmutz, Beat (2012) Quantification of the accuracy of MRI generated 3D models of long bones compared to CT generated 3D models. Medical Engineering and Physics, 34(3), pp. 357-363.
Orthopaedic fracture fixation implants are increasingly being designed using accurate 3D models of long bones based on computer tomography (CT). Unlike CT, magnetic resonance imaging (MRI) does not involve ionising radiation and is therefore a desirable alternative to CT. This study aims to quantify the accuracy of MRI-based 3D models compared to CT-based 3D models of long bones. The femora of five intact cadaver ovine limbs were scanned using a 1.5T MRI and a CT scanner. Image segmentation of CT and MRI data was performed using a multi-threshold segmentation method. Reference models were generated by digitising the bone surfaces free of soft tissue with a mechanical contact scanner. The MRI- and CT-derived models were validated against the reference models. The results demonstrated that the CT-based models contained an average error of 0.15mm while the MRI-based models contained an average error of 0.23mm. Statistical validation shows that there are no significant differences between 3D models based on CT and MRI data. These results indicate that the geometric accuracy of MRI based 3D models was comparable to that of CT-based models and therefore MRI is a potential alternative to CT for generation of 3D models with high geometric accuracy.
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|Item Type:||Journal Article|
|Keywords:||MRI, CT, 3D Models, Femur, long bones|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300) > Biomedical Engineering not elsewhere classified (090399)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)
|Divisions:||Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 Elsevier Ltd|
|Copyright Statement:||This is the author’s version of a work that was accepted for publication in Medical Engineering and Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Medical Engineering and Physics, Medical Engineering and Physics, VOL34, ISSUE3, (2012) DOI: 10.1016/j.medengphy.2011.07.027.|
|Deposited On:||26 Oct 2011 22:01|
|Last Modified:||12 Sep 2013 13:19|
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