醫(yī)學圖像處理part01-IntroIntroduction醫(yī)學圖像處理part01-Intro2IntroductionCourseinformationCoursecontentsWhylearnit?Whattolearn?Howtolearn?Outline醫(yī)學圖像處理part01-Intro3IntroductionCourseName:MedicalImageProcessingSpecialty:biomedicalengineeringTeachingperiod:48hours-teachinghours:44hours-experimentalhours:4+4hoursCourseinformation醫(yī)學圖像處理part01-Intro4Introduction數(shù)字圖像處理(英文版第二版).[美]RafaelC.Gonzalez.電子工業(yè)出版社,2002.醫(yī)學圖像處理與分析.羅述謙.科學出版社,2003.CourseinformationCourseScoring

Finalexamination:90%experiment:10%醫(yī)學圖像處理part01-Intro5IntroductionOneimageisworthmorethantenthousandswords–animportantmediaImageisneverperfect(quality,size,etc)BlurNoiseDistortion(radiometric,geometric)Colordecay,contrast…Whylearnit?醫(yī)學圖像處理part01-Intro6IntroductionTheamountofimagegeneratedeverydayMilitary(NASA,AirForce,Army,etc)Medical(Fromfilmtodigitalhospital,telemedicine)Lawenforcement(fingerprint,facerecognition,videosurveillance)Civilian(industryinspection)AutomaticprocessingofimagesImageretrievalAutomaticsegmentationAutomaticdetectionAutomaticrecognition(OCR,ATR)Whylearnit?(cont.)醫(yī)學圖像處理part01-Intro7IntroductionImageimprovement–lowlevelIPImprovementofpictorialinformationforhumaninterpretation(Improvingthevisualappearanceofimagestoahumanviewer)Imageanalysis–highlevelIPProcessingofscenedataforautonomousmachineperception(Preparingimagesformeasurementofthefeaturesandstructurespresent,withapplicationtoimagedatastorage,transmission,andrepresentation)Goalsofimageprocessing醫(yī)學圖像處理part01-Intro8IntroductionImageprocessing&ComputergraphicsImageprocessing&ComputervisionImageprocessing&PatternrecognitionSomeclarification醫(yī)學圖像處理part01-Intro9IntroductionAdistinctiondefinitionofIPTheinputandoutputoftheprocessisanimage.HyperDictionary()Imageprocessing-IP:ComputermanipulationofimagesComputergraphics-CG:ThepictorialrepresentationandmanipulationofdatabyacomputerComputervision-CV:Abranchofartificialintelligenceandimageprocessingconcernedwithcomputerprocessingofimagesfromtherealworld.Patternrecognition-PR:aimstoclassifydata(patterns)basedoneitheraprioriknowledgeoronstatisticalinformationextractedfromthepatterns.Someclarification醫(yī)學圖像處理part01-Intro10IntroductionWhattolearn?醫(yī)學圖像處理part01-Intro11IntroductionImageenhancement醫(yī)學圖像處理part01-Intro12IntroductionDenoisingGeometriccorrectionRadiometriccorrectionImagerestoration醫(yī)學圖像處理part01-Intro13IntroductionColormodelsColorimageprocessingmethodsColorimageprocessing醫(yī)學圖像處理part01-Intro14IntroductionImagesegmentation醫(yī)學圖像處理part01-Intro15IntroductionUsuallyfollowtheoutputofasegmentationstageConvertthedataforaformsuitableforsubsequentcomputerprocessingImagerepresentationanddescription醫(yī)學圖像處理part01-Intro16IntroductionReadingProgrammingMATLABorC++WindowsHowtolearn?醫(yī)學圖像處理part01-IntroMedicalImageFundamentals

醫(yī)學圖像處理part01-Intro18MedicalImageFundamentalsMedicalApplicationsMedicalImageDevelopmentConceptionofMedicalImageProcessing醫(yī)學圖像處理part01-Intro19MedicalApplications醫(yī)學圖像處理part01-Intro20MedicalApplications醫(yī)學圖像處理part01-Intro21MedicalApplications醫(yī)學圖像處理part01-Intro22MedicalApplications醫(yī)學圖像處理part01-Intro23Medical

Applications醫(yī)學圖像處理part01-Intro24MedicalApplications醫(yī)學圖像處理part01-Intro25InfraredImage醫(yī)學圖像處理part01-Intro26MedicalImage醫(yī)學圖像處理part01-Intro27MedicalImage醫(yī)學圖像處理part01-Intro28Nov.1895–AnnouncesX-raydiscoveryJan.13,1896–Imagesneedleinpatient’shand –X-rayusedpresurgically1901–ReceivesfirstNobelPrizeinPhysics–GivenfordiscoveryanduseofX-rays.WilhelmR?ntgen,WurtzburgRadiographofthehandofR?ntgen’swife,1895.DevelopmentofMedicalImage醫(yī)學圖像處理part01-Intro29Hounsfield和Cormack因發(fā)明CT獲得1979年諾貝爾醫(yī)學和生理學獎。醫(yī)學圖像處理part01-Intro30Bloch和Purcell因發(fā)現(xiàn)NMR現(xiàn)象獲得1952年諾貝爾物理學獎。醫(yī)學圖像處理part01-Intro31發(fā)明MRI中Fourier重建方法的Ernst獲得1991年諾貝爾化學獎。醫(yī)學圖像處理part01-Intro32Lauterbur和Mansfield因發(fā)明MRI方法獲得2003年諾貝爾醫(yī)學和生理學獎。醫(yī)學圖像處理part01-Intro33醫(yī)學圖像處理part01-Intro34MammographyBenignlesion-Fibroadenoma

醫(yī)學圖像處理part01-Intro353DImage醫(yī)學圖像處理part01-Intro36ColonoscopywithspiralCTCT(byPicker)

CT醫(yī)學圖像處理part01-Intro37PET-CT醫(yī)學圖像處理part01-Intro38PET醫(yī)學圖像處理part01-Intro39ManifoldImagingMode解剖成象模式功能成象模式X光照相術(shù)SPECT單光子發(fā)射斷層掃描像CT計算機斷層掃描技術(shù)PET正電子發(fā)射斷層掃描像MRI磁共振成象fMRI功能磁共振成象US超聲成象EEG腦電圖光纖內(nèi)窺鏡圖像MEG腦電圖MRA磁共振血管造影術(shù)光學內(nèi)源成象DSA數(shù)字減影血管造影術(shù)醫(yī)學圖像處理part01-Intro40ConceptionofMedicalImageProcessing人體醫(yī)學圖像研究的結(jié)構(gòu)框圖成象裝置測試數(shù)據(jù)圖象數(shù)據(jù)處理分析醫(yī)學應用0101110101重建人體醫(yī)學圖像處理part01-IntroApplicationonotherDomain醫(yī)學圖像處理part01-Intro42ImageProcessingFirstUsedinExploringSpace醫(yī)學圖像處理part01-Intro43ExploringSpace醫(yī)學圖像處理part01-Intro44ExploringSpace醫(yī)學圖像處理part01-Intro45EarthResourceReconnoitring醫(yī)學圖像處理part01-Intro46RemoteSensingImage醫(yī)學圖像處理part01-Intro47醫(yī)學圖像處理part01-Intro48WeatherNephogramWeatherForecast醫(yī)學圖像處理part01-Intro49MilitaryAffairsApplicationTargetTracking醫(yī)學圖像處理part01-Intro50MilitaryAffairsApplicationConcealedPlane,OrientationBomb醫(yī)學圖像處理part01-Intro51MilitaryAffairsApplication醫(yī)學圖像處理part01-Intro52MilitaryAffairsApplication醫(yī)學圖像處理part01-Intro53ComputerComposedImage醫(yī)學圖像處理part01-Intro54ComputerComposedImage

醫(yī)學圖像處理part01-Intro55Adve