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TitleReal-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation [electronic resource] / by Joey Sing Yee Tan, Amandeep S. Sidhu
ImprintCham : Springer International Publishing : Imprint: Springer, 2019
Connect tohttps://doi.org/10.1007/978-3-030-15585-8
Descript IX, 88 p. online resource

SUMMARY

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.


CONTENT

List of Figures -- List of Tables -- Chapter 1. Introduction -- Chapter 2. Background -- Chapter 3. Methodology -- Chapter 4. Fuzzy Inference System, etc


Engineering Biomedical engineering Surgery Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014 Biomedical Engineering and Bioengineering. http://scigraph.springernature.com/things/product-market-codes/T2700X Surgery. http://scigraph.springernature.com/things/product-market-codes/H59001 Regenerative Medicine/Tissue Engineering. http://scigraph.springernature.com/things/product-market-codes/L16080



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