Zhang, J., Chang, J., Yang, X. and Zhang, J. J., 2017. Virtual reality surgery simulation: A survey on patient specific solution. In: Next Generation Computer Animation Techniques Third International Workshop, AniNex 2017, 22-23 June 2017, Bournemouth, UK, 220 - 233.
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Official URL: https://link.springer.com/content/pdf/10.1007%2F97...
DOI: 10.1007/978-3-319-69487-0_16
Abstract
For surgeons, the precise anatomy structure and its dynamics are important in the surgery interaction, which is critical for generating the immersive experience in VR based surgical training applications. Presently, a normal therapeutic scheme might not be able to be straightforwardly applied to a specific patient, because the diagnostic results are based on averages, which result in a rough solution. Patient Specific Modeling (PSM), using patient-specific medical image data (e.g. CT, MRI, or Ultrasound), could deliver a computational anatomical model. It provides the potential for surgeons to practice the operation procedures for a particular patient, which will improve the accuracy of diagnosis and treatment, thus enhance the prophetic ability of VR simulation framework and raise the patient care. This paper presents a general review based on existing literature of patient specific surgical simulation on data acquisition, medical image segmentation, computational mesh generation, and soft tissue real time simulation.
Item Type: | Conference or Workshop Item (Paper) |
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ISSN: | 0302-9743 |
Uncontrolled Keywords: | Patient Specific Modeling; Surgery simulation; Virtual reality |
Group: | Faculty of Media & Communication |
ID Code: | 30127 |
Deposited By: | Symplectic RT2 |
Deposited On: | 13 Dec 2017 16:17 |
Last Modified: | 14 Mar 2022 14:08 |
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