Joey Sing Yee Tan, Amandeep S. Sidhu

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

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 832
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-15584-1
• 1st ed. 2019
• Seitenzahl: 100
• Erscheinungstermin: 19. April 2019
• Englisch
• Abmessung: 241mm x 160mm x 12mm
• Gewicht: 268g
• ISBN-13: 9783030155841
• ISBN-10: 3030155846
• Artikelnr.: 55160125

Inhaltsangabe

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