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.

Presents an improved mass spring model to simulate soft tissue deformation The first specific contribution on liver modeling using a real-time and knowledge-based fuzzy mass spring model Provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation

Inhalt
List of Figures.- List of Tables.- Chapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Methodology.- Chapter 4. Fuzzy Inference System, etc.