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.
Read More
Specifications
Book Details
Title
Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
Imprint
Springer Nature Switzerland AG
Product Form
Hardcover
Publisher
Springer Nature Switzerland AG
Genre
Computers
ISBN13
9783030155841
Book Category
Higher Education and Professional Books
BISAC Subject Heading
COM004000
Book Subcategory
Medical and Nursing Books
ISBN10
9783030155841
Language
English
Dimensions
Height
235 mm
Length
155 mm
Weight
454 gr
Be the first to ask about this product
Safe and Secure Payments.Easy returns.100% Authentic products.