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南京邮电大学毕业设计（论文）日期：2015年1月15日至2015年6月7日题目基于ITK的人脑图像配准算法实现专业生物医学工程学生姓名曾宪波班级学号B110904B11090426指导教师杜若瑜指导单位南京邮电大学地理与生物信息学院毕业设计（论文）原创性声明本人郑重声明：所提交的毕业设计（论文），是本人在导师指导下，独立进行研究工作所取得的成果。除文中已注明引用的内容外，本毕业设计（论文）不包含任何其他个人或集体已经发表或撰写过的作品成果。对本研究做出过重要贡献的个人和集体，均已在文中以明确方式标明并表示了谢意。论文作者签名：日期：年月日摘要伴随着科技的发展与进步，医学图像成像技术也在飞速发展，图像处理在医学研究与临床医学中的应用越来越广泛，涌现出大量的医学图像。但是，大量的医学图像因为成像设备、环境、时序、位置等的差异带来了医学图像信息的不一致性，如何消除里面的差异获取一致性的信息成为一个函待解决的问题。本文介绍了医学图像配准构架中的各个部件以及常见的配准算法。同时设计了2组实验：使用2组人脑MRI图像序列进行配准研究。利用ITK中的居中变换刚性配准进行2D刚性配准；将序列重建为3D体数据，利用Versor3D刚性配准进行3D刚性配准。通过对2组实验结果进行比较与分析，得出2D刚性配准在配准精度上优于3D刚性配准，但配准耗费的时间比3D刚性配准要多的结论。关键词：ITK；人脑图像；图像配准；刚性配准；MRIABSTRACTWiththedevelopmentofscience,medicalimagingtechnologyisexpandingrapidly.Asimageprocessingisappliedwidelyinmedicalresearchandclinicalmedicine,alargenumberofmedicalimagesareemerging.However,becauseofthedifferencesintheimagingdevice,theenvironment,thetiming,location,amajorityofmedicalimageshasledtotheinconsistencyofmedicalimageinformation.Therefore,howtoeliminatethedifferencesandobtainconsistencyofinformationhasbecomeaproblemtobeaddressed.Thisarticleintroduceseachcomponentofmedicalimagingregistrationframeworkandsomecommonregistrationalgorithms.Inthemeantime,itdesignstwocomparativeexperimentstodoregistrationresearchbasedontwosetsofbrainMRIimagesequence.Firstly,itrebuildsthesequenceas3DdataandthenmakesuseofthecentertransformationandrigidregistrationofITKtoconduct2Drigidregistration,aswellasVersor3Dtoconduct3Drigidregistration.Throughanalyzingandresearchingtheresultsoftwoexperiments,itconcludesthat2Drigidregistrationisbetterthan3Drigidregistrationontheaccuracyofregistration,butweakerontheconsumingtimeofregistration.Keywords：ITK;brainimage;imageregistration;rigidregistration;MRI目录第一章绪论.........................................................................................................-1-1.1课题意义.....................................................................................................................-1-1.2研究现状简述.............................................................................................................-1-1.2.1国外研究现状..................................................................................................-1-1.2.2国内研究现状..................................................................................................-1-1.3医学图像配准的问题.................................................................................................-2-1.4本文的主要工作.........................................................................................................-2-第二章ITK简介与配准框架..............................................................................-3-2.1ITK的安装..................................................................................................................-3-2.1.1获取安装资源..................................................................................................-3-2.1.2ITK安装...........................................................................................................-3-2.2ITK的背景和理念......................................................................................................-3-2.3ITK核心概念..............................................................................................................-3-2.3.1数据表达..........................................................................................................-3-2.3.2泛编程式..........................................................................................................-4-2.3.3数据处理管道..................................................................................................-4-2.3.4内存管理与智能指针......................................................................................-5-2.3.5事件对象..........................................................................................................-6-2.3.6空间对象..........................................................................................................-6-2.4DICOM文件结构..........................................................................................................-6-2.4.1DICOM文件头...................................................................................................-6-2.4.2DICOM数据集合...............................................................................................-7-第三章医学图像配准.........................................................................................-8-3.1图像配准的分类.........................................................................................................-8-3.2医学图像配准的基本过程.........................................................................................-9-3.3医学图像配准框架各部分理论介绍.........................................................................-9-3.3.1空间变换..........................................................................................................-9-3.3.2相似性测度（度量）.....................................................................................-11-3.3.3优化器...................................................................................................