Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
(Sprache: Englisch)
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...
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Klappentext zu „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.
Inhaltsverzeichnis zu „Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation “
List of Figures.- List of Tables.- Chapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Methodology.- Chapter 4. Fuzzy Inference System, etc.
Bibliographische Angaben
- Autoren: Joey Sing Yee Tan , Amandeep S. Sidhu
- 2019, 1st ed. 2019, IX, 88 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030155846
- ISBN-13: 9783030155841
- Erscheinungsdatum: 19.04.2019
Sprache:
Englisch
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