内容简介
医学影像分割技术是采用计算机技术对医学影行辅助处理的基础，是当前医学图像处理的一个难点，也是量化分析和的基础。鉴于此，本书提出了三维智能剪刀算法，把原本仅适用于二维图像的智能剪刀拓展到了三维空间，并应用于胸腔分割和肝脏分割，实现了一套基于三维智能剪刀的智能PACS（医学影像存档与传输系统）。本书分两部分：部含4章，主要讨论了基于仿射变换的三维动画传输算法，该算法是三维智能PACS的基础；部含2章，讨论了针对医学影像的三维智能剪刀算法，并介绍了该PACS系统的设计能和具体操作界面。 本书适合图形图像技术和医学影像处理专业的高年级本科生、研究生和相关研究人员。
目录
Part One (Chapters 1~4) Chapter 1 Animating by example 1.1 The significance of the animating-by-example method 1.2 Survevs of related existine research and overview of our method 1.2.1 Surveys of related existing research 1.2.2 Overview of our method 1.3 The main steps of the algorithm 1.3.1 Sketch based mapping 1.3.2 Differential mean value coordinates for mer/> deformation 1.3.3 Stitching and smoothing mesher/> 1.3.4 Interpolating between key framer/> 1.3.5 Mapping 2D animations to 3D characterr/> 1.3.6 Solving the minimization problem for smoothing mer/> 1.4 Results of the method 1.5 Conclusions of this chapter Chapter 2 A new method of interactive marker-driven free-form mer/> deformation 2.1 The related works of free form mesh deformation 2.2 Overview of the new method of free-form mesh deformation 2.3 The main steps of interactive marker-driven free-form mer/> deformation 2.3.1 The algorithm of shape deformation 2.3.2 The algorithm of mesh smoothing 2.3.3 Interpolating between two key framer/> 2.4 Conclusions of this chapter Chapter 3 As-rigid-as-pole deformation clone 3.1 The related works of deformation clone 3.2 Overview of the method 3.3 The algorithm of deformation clone 3.4 The and conclusions of the method 3.4.1 The results of the method proposed in this chapter 3.4.2 The conclusions of the method proposed in thir/> Chapter Chapter 4 A fast trapeziumased method for soft shadow volumer/> 4.1 Previous works of soft shadow volumer/> 4.2 Obtaining soft shadows with ray tracing 4.2.1 Finding out all global potential silhouette edger/> 4.2.2 Getting local potentíial silhouette edges and exact silhouette edger/> 4.2.3 Projecting, modifying and spliting silhouette edger/> 4.2.4 Constructing trapeziums to determine the viility of light source 4.3 Results and conclusions of the algorithmPart Two (Chapters 5 and 6) Chapter 5 Interactive mesh segmentation and contour optimization for liver & tumorr/> 5.1 The related works of liver and tumors segmentation 5.2 Outline of the approach 5.3 Main steps of the approach 5.3.1 Finding cheoner/> 5.3.2 Constructing chest mer/> 5.3.3 Constructing liver mer/> 5.3.4 Extended intelligent scissorr/> 5.3.5 Liver segmentation scheme 5.4 Experiments and resultr/> 5.5 Discussion and conclusions of this chapter Chapter 6 Design and development of smart PACS based on 3D intelligent scissorr/> 6.1 Design goalr/> 6.2 Feaility analvsir/> 6.3 Main development content 6.3.1 Optimization of 3D intelligent scissors algorithm 6.3.2 Development of smart PACS system 6.3.3 System architecture 6.4 System development and implementation 6.4.1 System moduler/> 6.4.2 Interface and tips of smart PACS 6.5 Video of academic results created by smart PACSAppendix 1: Sparse matrix algorithms and softwareAppendix 2: Solving the minimization problemAppendix 3: Detailed evaluation results of 40 caser/>Appendix 4: Detailed evaluation results of 10 cases downloaded fromMICCAI databar/>Appendix 5: Introduction to DIAppendix 6: Project file format of smart PACSReferencer/>Index