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

Tan, Joey Sing Yee (Author)/ Sidhu, Amandeep S. (Author)

ISBN 10: 3030155846 / ISBN 13: 9783030155841

Verlag: Springer, 2019

Beschreibung

88 pages. 9.50x6.50x0.50 inches. In Stock.

Bestandsnummer des Verkäufers x-3030155846

Bibliografische Details

• Titel: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
• Verlag: Springer
• Veröffentlichungsdatum: 2019
• Sprache: Englisch
• ISBN-10: 3030155846
• ISBN-13: 9783030155841
• Bindung: Hardcover
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

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.