Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence, 832) - Hardcover

Book 337 of 538: Studies in Computational Intelligence

Tan, Joey Sing Yee; Sidhu, Amandeep S.

 
9783030155841: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence, 832)
Hardcover
ISBN 10: 3030155846 ISBN 13: 9783030155841
Publisher: Springer, 2019

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. 

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From the Back Cover

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. 

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2019
Language
English
ISBN 10 
3030155846
ISBN 13 
9783030155841
Binding
Hardcover
Edition number
1
Number of pages
97

Other Popular Editions of the Same Title

9783030155872: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence)

Featured Edition

ISBN 10:  3030155870 ISBN 13:  9783030155872
Publisher: Springer, 2020
Softcover