Development of a semi-automated technique for reconstructing vertebral anatomy using clinical MRI

Benitez-Mendieta, Jessica, Grant, Caroline A., Brooker, Beau, & Little, J. Paige (2016) Development of a semi-automated technique for reconstructing vertebral anatomy using clinical MRI. In Freeman, Brian (Ed.) Adelaide Centre for Spine Research - Spinal Research Symposium XIV, 11-13 August 2016, Adelaide, SA. (Unpublished)


Three dimensional (3D) reconstructions of the spinal vertebrae have been utilised to create computational models for assessing spinal biomechanics and to permit clinicians to interrogate a virtual representation of the spinal anatomy for patients with complicated or unusual bone pathologies/deformities. These reconstructions have primarily been developed using computed tomography (CT) scanning. However, the radiation exposure associated with the use of CT scans to assess anatomical features, particularly in young patients, precludes the routine use of this imaging modality in research. An accurate, semi-automatic technique was developed to segment and reconstruct lumbar vertebral anatomy using MRI data. This technique resulted in reconstructed vertebral anatomy with clearly defined vertebral bodies as well as posterior elements, something hereto not achieved in prior studies.

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ID Code: 99569
Item Type: Conference Item (Presentation)
Refereed: Yes
Keywords: 3D reconstruction, 3D vertebral anatomy, magnetic resonance imaging, computed tomography, computational model, reconstruct vertebral anatomy, lumbar spine
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300) > Biomechanical Engineering (090302)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > CLINICAL SCIENCES (110300) > Orthopaedics (110314)
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: The Authors
Deposited On: 27 Sep 2016 23:44
Last Modified: 01 Oct 2016 14:32

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