Abstract
Background and Aim: Three-Dimensional Computer Aided Simulation (3D-CAS) in Expansion have been a vast section for use in Maxillary Surgery (MS). However, it has some limitation in practical operation due to less evaluation in the technical area. Methodology: This research introduce a new taxonomy called Data, Transverse Image Processing in Expansion, and Response to Processed Outcome (DTR) which define the major components that are required to implement computer aided simulation in 3D maxillary surgery. We propose and consider these components focusing on validation criteria for simulation modelling in maxillary surgery during operation. DTR taxonomy of MS expansion is a forward step that will help the end users and the surgeons to analyze and understand constraints of simulation modelling in expansion focusing on its use in operating system. Results: We evaluated DTR taxonomy based on position accuracy, stress distribution and stress displacement with minimum processing timeframe. We demonstrated the effectiveness of DTR taxonomy by classifying nine state-of-the-art research papers in the domain of 3D-CAS expansion in MS systems. Conclusion: Our classification shows that components of maxillary surgery expansion have been validated and some of them are evaluated. This article reviews the image processing in the surgical room for pre-operative and intra-operative scenario in terms of position accuracy, operation time, stress distribution and stress displacement to ease the surgical procedure.
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Tandukar, K., Salah, R.M., AlSallami, N., Altaf, S., Ahmed, S., Sandhu, G. (2022). DTR Taxonomy on 3D Computer Aided Simulation of Image Processing Expansion in Facial Maxillary Surgery: An Extensive Review. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the ICR’22 International Conference on Innovations in Computing Research. ICR 2022. Advances in Intelligent Systems and Computing, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-031-14054-9_12
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DOI: https://doi.org/10.1007/978-3-031-14054-9_12
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