Real-time knowledge-based fuzzy logic model for soft tissue deformation /
[Book]
Joey Sing Yee Tan, Amandeep S. Sidhu.
Cham :
Springer,
2019.
1 online resource (ix, 88 pages)
Studies in computational intelligence, Data, semantics and cloud computing,
volume 832
2524-6593 ;
Includes bibliographical references.
List of Figures -- List of Tables -- Chapter 1. Introduction -- Chapter 2. Background -- Chapter 3. Methodology -- Chapter 4. Fuzzy Inference System, etc.
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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.
Springer Nature
com.springer.onix.9783030155858
Real-time knowledge-based fuzzy logic model for soft tissue deformation.