Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
暫譯: 即時知識基礎模糊邏輯模型於軟組織變形的應用

Tan, Joey Sing Yee, Sidhu, Amandeep S.

  • 出版商: Springer
  • 出版日期: 2019-06-04
  • 售價: $4,200
  • 貴賓價: 9.5$3,990
  • 語言: 英文
  • 頁數: 100
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030155870
  • ISBN-13: 9783030155872
  • 海外代購書籍(需單獨結帳)

商品描述

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. 

商品描述(中文翻譯)

本書提供了一個基於知識的即時模糊邏輯模型,用於軟組織變形。隨著手術模擬需求的持續增長,手術模擬設計面臨著重大瓶頸,且每位病人都是獨特的。可變形模型是手術模擬的核心,在手術模擬設計中扮演著關鍵角色。因此,本書 (1) 提出了一個改進的質量彈簧模型,以模擬手術模擬中的軟組織變形;(2) 透過重新設計基礎的質量彈簧模型 (Mass Spring Model, MSM) 來確保模擬的準確性,並使用三種不同的基於模糊知識的方法來確定 MSM 的參數;(3) 演示如何將中央處理器 (Central Processing Unit, CPU) 記憶體中的數據結構化,以便根據一組依賴於圖形處理器 (Graphical Processing Unit, GPU) 的對齊規則進行合併;以及 (4) 實現異構並行編程,以便在基於計算統一設備架構 (Computer Unified Device Architecture, CUDA) 的 GPU 計算中分配網格威脅。