Surgical Scene Generation for Virtual Reality-Based Training in Medicine

ISBN-13: 9781848001060 / Angielski / Twarda / 2008 / 167 str.

Matthias Harders

Opis

This reference book is for anyone involved in generating surgical training scenarios, as well as in VR-based training in general. It examines the main components required to define a scenario, in the context of surgical scene generation: Generation of the scene geometry; modelling of organ appearance; definition of biomechanical parameters. The book is the ideal reference for any reader involved in generating training scenarios, as well as in VR-based training in general.

Spis treści

Introduction.- Motivation.- Surgical Education.- Overview.- VR-based Training.- Surgical Simulation.- Training Scene Generation.- Outline.- Geometry.- Introduction.- Definitions.- Relevance to Surgical Education.- Process Elements.- Previous Work Related to Surgical Simulation.- Data Acquisition.- Overview.- Uterine Image Acquisition.- Healthy Anatomy Generation.- Outline.- Segmentation.- Statistical Model.- Shape Prediction.- Pathology Integration.- Outline.- Skeleton-based Design.- Cellular Automata Growth Model.- Particle System Growth Model.- Volumetric Representation.- Modelling Examples.- Appearance.- Introduction.- Definitions.- Texturing in Computer Graphics.- Relevance to Surgical Education.- Process Elements.- Previous Approaches in Surgery Simulation.- Data Acquisition and Enhancement.- In-vivo Image Acquisition.- Image Enhancement.- Base Texture Generation.- Procedural Textures.- Review.- Generation of Simple Textures.- Texture Synthesis.- Human Texture Perception.- Review.- Texture Generation for Laparoscopic Simulation.- Texture Generation for Hysteroscopic Simulation.- Additional Texture Detail.- Embedding of Specks into Liver Textures.- Overlay of Real Follicle Textures.- Texture Mapping.- Mesh Cutting.- Mesh Parameterization.- Modelling Examples.- Biomechanics.- Introduction.- Deformation Models.- Tissue Parameter Acquisition.- Relevance to Surgical Education.- Previous Work.- Genetic Optimization Approach.- Outline.- 2D Topology Optimization.- Extension to 3D Topology Identification.- Simultaneous Topology and Spring Constant Identification.- Analytical Derivation.- Overview.- Derivation for Constant Strain Triangle.- Derivation for Tetrahedral Element.- Discussion.- Conclusion.- Summary.- Hysteroscopy Simulation.- Extension: Vessel Generation.- Outlook.- Acronyms.- References.-Index

Blurb

One of the most important elements needed for effective training in Virtual Reality (VR) is the generation of variable scenarios. Without this, trainees quickly become familiar with a scene and the natural variations encountered in real-life situations cannot be reproduced. Generating such models in VR-based applications is difficult, but with the increase in computational power (allowing for larger and more finely-detailed virtual environments) there is an increasing demand for improved methods for model acquisition, enhancement, optimization and adaptation.

The field of medicine lends itself very well to VR-based training particularly in the area of surgery. In this book Matthias Harders examines the main components needed when defining effective scenarios:

• scene geometry

• organ appearance

• biomechanical parameters

providing an extensive overview of related work and introducing specific solutions in detail.

With plenty of examples to show the outcome and performance of the methods presented in the book, this will be an essential resource for all those involved in generating training scenarios in medical education, as well as in VR-based training in general.