Patient specific parametric finite element models of scoliotic spines from CT scans
de Visser, Hans, Little, J. Paige, Adam, Clayton J., Evans, John, Pearcy, Mark J., Labrom, Robert D., & Askin, Geoffrey N. (2007) Patient specific parametric finite element models of scoliotic spines from CT scans. In e-Health Research Colloquium, 13/03/2007, Brisbane, Australia.
Software was developed for the creation of parametric, patient-specific Finite Element models of the spine using bony anatomy from Computed Tomography scans. The sensitivity of predicted spinal stiffness to inter and intra-observer variations in 25 anatomical parameters was determined, based on a model of the Visible Man lumbar spine. Vertebral body height influenced predicted spinal stiffness the most. When deriving biomechanical models from patient-specific data, care must be taken to identify intervertebral disc dimensions accurately, in particular height. The modelling capability developed provides a means to rapidly create patient-specific biomechanical models of the spine to investigate both spinal degeneration and the effects of restorative surgery. The models can be generated and solved quickly, providing potential for future use in a clinical setting.
Impact and interest:
Citation counts are sourced monthly from and 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.
|Item Type:||Conference Item (Poster)|
|Keywords:||Spinal deformity, sensitivity analysis, biomechanical modeling, finite element modeling|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > CLINICAL SCIENCES (110300) > Orthopaedics (110314)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2007 (please consult author)|
|Deposited On:||14 May 2007 00:00|
|Last Modified:||10 Aug 2011 18:42|
Repository Staff Only: item control page