Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation

✍ Scribed by Joey Sing Yee Tan, Amandeep S. Sidhu

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 94
• Series: Studies in Computational Intelligence 832
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-ix
Introduction (Joey Sing Yee Tan, Amandeep S. Sidhu)....Pages 1-10
Background (Joey Sing Yee Tan, Amandeep S. Sidhu)....Pages 11-30
Methodology (Joey Sing Yee Tan, Amandeep S. Sidhu)....Pages 31-47
Fuzzy Inference System (Joey Sing Yee Tan, Amandeep S. Sidhu)....Pages 49-61
CUDA Implementation (Joey Sing Yee Tan, Amandeep S. Sidhu)....Pages 63-67
Conclusion (Joey Sing Yee Tan, Amandeep S. Sidhu)....Pages 69-70
Back Matter ....Pages 71-88

✦ Subjects

Engineering; Computational Intelligence; Biomedical Engineering; Surgery; Regenerative Medicine/Tissue Engineering