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

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en Limba Engleză Hardback – 19 Apr 2019
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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Specificații

ISBN-13: 9783030155841
ISBN-10: 3030155846
Pagini: 140
Ilustrații: IX, 88 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția: 1st ed. 2019
Editura: Springer
Colecția Springer
Seriile Studies in Computational Intelligence , Data, Semantics and Cloud Computing

Locul publicării: Cham, Switzerland

Cuprins

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

Textul de pe ultima copertă

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. 

Caracteristici

Presents an improved mass spring model to simulate soft tissue deformation
The first specific contribution on liver modeling using a real-time and knowledge-based fuzzy mass spring model
Provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation