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OverviewThis 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. Full Product DetailsAuthor: Joey Sing Yee Tan , Amandeep S. SidhuPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 2019 ed. Volume: 832 Weight: 0.454kg ISBN: 9783030155841ISBN 10: 3030155846 Pages: 88 Publication Date: 19 April 2019 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsList of Figures.- List of Tables.- Chapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Methodology.- Chapter 4. Fuzzy Inference System, etc.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |