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ID:36467366
大小:984.01 KB
页数:63页
时间:2019-05-10
《CT与磁共振图像融合技术的研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、南京航空航天大学硕士学位论文CT与磁共振图像融合技术的研究姓名:王林艳申请学位级别:硕士专业:生物医学工程指导教师:王惠南20070101CT与磁共振图像融合技术的研究ABSTRACTRecently,imagefusionhasbecomeanimportanttechnologyinimagecomprehendandcomputervision,especiallyinmedicaldomain.Doctorscangetdifferentdetailsfromdifferentmedicalimagesbecaus
2、eofthedifferentimagingtheoryofmedicalinstrumentsandapplication.Imagefusioncancombinekindsofusefulinformationandbecomeakeymeansinclinicdiagnoseandmedicalresearch.ThroughthecomplementaryinformationthefusedCTandMRimagewhicharethemostcommonimageinclinicdiseasediagnose
3、willcontainmoreabundant,intuitionisticandcomprehensivedetails,improvingtheveracityandcorrectnessinthecourseofdiseasediagnose.TheissuelaysastrongemphasisontheimagefusiontechnologybasedonCTandMRimage.First,itdiscussesthetheoryandcharacteristicsoftraditionalmedicalim
4、agefusionmethodsandanalysesthelimitationswiththeexperimentalresultsthen,presentsseveralkindsofruleswhichareappliedtoCTandMRimagefusionthroughadoptingtheadvancedwavelettransform,suchaswavelet-weighted,regionalenergyandfrequencydomainmethodandsoon.Experimentalresult
5、sshowthatimagefusionmethodbasedonwavelettransformcanachievebettereffects;meanwhilethispaperstudiestheevaluationofCTandMRimagefusionforthecharacteristicsofmedicalimages.Finally,itconductsapreliminaryresearchaboutmedicalimagefusiontechnologybasedonthethree-dimension
6、alreconstruction.OneoftheinnovationsoftheissueisofferingamorecomprehensiveandvaluableselectionmethodbasedonCTandMRfusionevaluation.Thepurposeofstudyingevaluationofimagefusionwhichisanimportantandcomplextaskisnottotellgoodfrombadofkindsofmedicalimagefusionmethodson
7、specialoccasions,butofferaselectionmethodfordifferentapplicationoccasions.Anotherinnovationinthepaperisconductingapreliminaryacademicresearchaboutmedicalimagefusionmethodbasedonthethree-dimensionalreconstructionwhichovercomesthelimitationofrequisiteregistrationbef
8、orethefusionintraditionalmethods.Thismethodissimplyandcanbeappliedinawiderscope.Keywords:imagefusion,medicalimage,wavelettransform,evaluatemeasures,3-Df
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