Design of a Graphical User Interface for rapid identification and parameterisation of bony landmarks of scoliotic spines from CT scans
(2006) Design of a Graphical User Interface for rapid identification and parameterisation of bony landmarks of scoliotic spines from CT scans . In Proceedings 6th Annual Health and Medical Research Conference of Queensland, Brisbane, Australia.
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Abstract
Introduction Spinal deformity disfigures the torso and reduces lung capacity. Consequently, it has a major detrimental effect on both the physical and psychological wellbeing of its sufferers. The main goal of this project is to improve the outcome of surgical deformity correction by providing patient-specific Finite Element (FE) models derived from pre-operative CT scans to predict the effects of surgical procedures. Methods The FE models developed in this project are parametric, meaning they are not derived by directly meshing CT data, but by detecting bony landmarks from CT data to which a predefined mesh is fitted. Landmarks are identified using a custom-developed Graphical User Interface (GUI) which contains algorithms for automatic detection of specific groups of landmarks such as ribs and endplates. Landmark properties are fed directly into a preprocessor that generates the FE mesh. Results Identifying all required landmarks of a complete spine takes between one and two hours. Intraobserver variations in coordinates and angles are small (standard deviations usually below 2mm and 3deg respectively). Discussion & Conclusion Many of the commercially available algorithms can derive FE meshes directly from CT data in seconds, but high mesh densities and tetrahedral elements make these models unsuitable for whole-spine FE simulations. The semi-automated preprocessor presented allows better control over the FE mesh and material property assignment, and should eventually lead to a process where the surgeon is provided with a reliable FE prediction of the biomechanical outcome of the proposed surgery within a day or two of taking the CT scans.
| Item Type: | Conference Paper |
|---|---|
| Status: | Published |
| Keywords: | Spinal deformity, user interface design, biomechanical modeling, finite element modeling |
| Subjects: | 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280203 Image Processing 320000 Medical and Health Sciences > 321000 Clinical Sciences > 321017 Orthopaedics 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280210 Simulation and Modelling 290000 Engineering and Technology > 291500 Biomedical Engineering |
| ID Code: | 7597 |
| Deposited By: | de Visser, Hans |
| Deposited On: | 11 May 2007 |
| Additional Information: | Abstract only. For more information contact the author at c.adam@qut.edu.au |