Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
| dc.contributor.author | Tan, Sing Yee | |
| dc.contributor.supervisor | Dr Amandeep Sidhu | |
| dc.date.accessioned | 2017-01-30T09:53:24Z | |
| dc.date.available | 2017-01-30T09:53:24Z | |
| dc.date.created | 2016-02-18T06:16:07Z | |
| dc.date.issued | 2014 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/760 | |
| dc.description.abstract |
In this research, the improved mass spring model is presented to simulate the human liver deformation. The underlying MSM is redesigned where fuzzy knowledge-based approaches are implemented to determine the stiffness values. Results show that fuzzy approaches are in very good agreement to the benchmark model. The novelty of this research is that for liver deformation in particular, no specific contributions in the literature exist reporting on real-time knowledge-based fuzzy MSM for liver deformation. | |
| dc.language | en | |
| dc.publisher | Curtin University | |
| dc.title | Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation | |
| dc.type | Thesis | |
| dcterms.educationLevel | MPhil | |
| curtin.note |
Author name on Title page: Joey Tan Sing Yee | |
| curtin.department | Curtin Sarawak Research Institute | |
| curtin.accessStatus | Open access |