Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation

Joey Sing Yee Tan, Amandeep S. Sidhu (Autoren)

Buch | Hardcover

IX, 88 Seiten

2019
Springer International Publishing (Verlag)
9783030155841 (ISBN)

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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.

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

Erscheinungsdatum	21.04.2019
Reihe/Serie	Data, Semantics and Cloud Computing
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	IX, 88 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	307 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	CUDA Implementation • FMPC Inference System • Knowledge-based Fuzzy Mass Spring Model Parameters • Knowledge-based Fuzzy Mass Spring Model Parameters Controller • Soft Tissue Deformation • surgical simulation
ISBN-13	9783030155841 / 9783030155841
Zustand	Neuware