Real-Time Knowledge-Based Fuzzy Logic Model For Soft Tissue Deformation (Studies In Computational Intelligence, 832)

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.

• | Author: Joey Sing Yee Tan, Amandeep S. Sidhu
• | Publisher: Springer
• | Publication Date: Apr 19, 2019
• | Number of Pages: 97 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 3030155846
• | ISBN-13: 9783030155841