Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
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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Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
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.
109.99
In Stock
5
1
Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
88
Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
88Hardcover(1st ed. 2019)
$109.99
109.99
In Stock
Product Details
| ISBN-13: | 9783030155841 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 04/06/2019 |
| Series: | Studies in Computational Intelligence , #832 |
| Edition description: | 1st ed. 2019 |
| Pages: | 88 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |
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