Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
Produktnummer:
188bc8a1144aac490dacef4db1931fb71b
| Autor: | Sidhu, Amandeep S. Tan, Joey Sing Yee |
|---|---|
| Themengebiete: | CUDA Implementation FMPC Inference System Knowledge-based Fuzzy Mass Spring Model Parameters Controller Soft Tissue Deformation Surgical Simulation |
| Veröffentlichungsdatum: | 19.04.2019 |
| EAN: | 9783030155841 |
| Sprache: | Englisch |
| Seitenzahl: | 88 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation"
This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation. Accordingly, this book (1) presents an improved mass spring model to simulate soft tissue deformation for surgery simulation; (2) ensures the accuracy of simulation by redesigning the underlying Mass Spring Model (MSM) for liver deformation, using three different fuzzy knowledge-based approaches to determine the parameters of the MSM; (3) demonstrates how data in Central Processing Unit (CPU) memory can be structured to allow coalescing according to a set of Graphical Processing Unit (GPU)-dependent alignment rules; and (4) implements heterogeneous parallel programming for the distribution of grid threats for Computer Unified Device Architecture (CUDA)-based GPU computing.
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