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三维智能PACS相关图形图像技术(英文版)

三维智能PACS相关图形图像技术(英文版)

定 价:¥98.00

作 者: 卢涤非 著
出版社: 上海交通大学出版社
丛编项:
标 签: 暂缺

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ISBN: 9787313254566 出版时间: 2021-10-01 包装:
开本: 16开 页数: 字数:  

内容简介

  医学影像分割技术是采用计算机技术对医学影像进行辅助处理的基础,是当前医学图像处理的一个难点,也是肿瘤量化分析和精准治疗的基础。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,并成功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: 第一部分包含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;第二部分包含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、功能和具体操作界面。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。

作者简介

  Lu Difei (1972-,Ph.D.), a professor of Zhejiang Institute of Mechanical and Electrical Engineering. Researchinterests include computer graphics and image technology, medical imageprocessing and industrial internet technology, etc.Several papers such asIterative mesh transformation for 3D segmentation of livers with cancers in CTimages Animating by example A fastt rapeziums-based method for soft shadow volumes and a book Samplesbased animation creating and application have been published.Several achievements have won provincial and municipal scientificand technological progress awards, nearly30 academic papers have been published,and more than 10 patents and sof tware copyrights have been obtained.

图书目录


Part One (Chapters 1~4)
Chapter 1Animating by example3
1.1The significance of the animating by example method3
1.2Surveys of related existing research and overview of our method6
1.2.1Surveys of related existing research6
1.2.2Overview of our method16
1.3The main steps of the core algorithm18
1.3.1Sketch based mapping18
1.3.2Differential mean value coordinates for mesh deformation22
1.3.3Stitching and smoothing meshes25
1.3.4Interpolating between key frames31
1.3.5Mapping 2D animations to 3D characters32
1.3.6Solving the minimization problem for smoothing mesh35
1.4Results of the method38
1.5Conclusions of this chapter39
Chapter 2A new method of interactive markerdriven freeform mesh
deformation43
2.1The related works of free form mesh deformation43
2.2Overview of the new method of freeform mesh deformation44
2.3The main steps of interactive markerdriven freeform mesh deformation45
2.3.1The algorithm of shape deformation 45
2.3.2The algorithm of mesh smoothing49
2.3.3Interpolating between two key frames51
2.4Conclusions of this chapter52
Chapter 3Asrigidaspossible deformation clone54
3.1The related works of deformation clone54
3.2Overview of the method60
3.3The algorithm of deformation clone61
3.4The results and conclusions of the method64
3.4.1The results of the method proposed in this chapter64
3.4.2The conclusions of the method proposed in this
chapter65
Chapter 4A fast trapeziumsbased method for soft shadow volumes67
4.1Previous works of soft shadow volumes67
4.2Obtaining soft shadows with ray tracing71
4.2.1Finding out all global potential silhouette edges71
4.2.2Getting local potential silhouette edges and exact silhouette edges72
4.2.3Projecting, modifying and splitting silhouette edges 73
4.2.4Constructing trapeziums to determine the visibility oflight source76
4.3Results and conclusions of the algorithm77
Part Two (Chapters 5 and 6)
Chapter 5
Interactive mesh segmentation and contour optimization forliver & tumors 83
5.1The related works of liver and tumors segmentation83
5.2Outline of the approach91
5.3Main steps of the approach92
5.3.1Finding chest bones92
5.3.2Constructing chest mesh92
5.3.3Constructing liver mesh102
5.3.4Extended intelligent scissors104
5.3.5Liver segmentation scheme109
5.4Experiments and results112
5.5Discussion and conclusions of this chapter117
Chapter 6Design and development of smart PACS based on 3D intelligent scissors121
6.1Design goals121
6.2Feasibility analysis122
6.3Main development content122
6.3.1Optimization of 3D intelligent scissors algorithm122
6.3.2Development of smart PACS system122
6.3.3System architecture 123
6.4System development and implementation124
6.4.1System modules124
6.4.2Interface and tips of smart PACS147
6.5Video of academic results created by smart PACS156
Appendix 1: Sparse matrix algorithms and software166
Appendix 2: Solving the minimization problem169
Appendix 3: Detailed evaluation results of 40 cases173
Appendix 4: Detailed evaluation results of 10 cases downloaded from MICCAI database176
Appendix 5: Introduction to DICOM177
Appendix 6: Project file format of smart PACS179
References180

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