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

Tan, Joey Sing Yee; Sidhu, Amandeep S.

ISBN 10: 3030155846 / ISBN 13: 9783030155841

Editore: Springer, 2019

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Dati bibliografici

• Titolo: Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation (Studies in Computational Intelligence, 832)
• Editore: Springer
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 3030155846
• ISBN 13: 9783030155841
• Rilegatura: Rilegato
• Condizione: New

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Riassunto

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.