Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (1st ed. 2019) (Studies in Computational Intelligence #832)

By: Joey Sing Tan and Amandeep S. Sidhu

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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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030155858
Related ISBNs:: 9783030155841
Publisher:: Springer International Publishing
Date of Addition:: 06/07/19
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Technology, Medicine
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.