病理組血管寬度課件

1OutlineIntroductionPapersReviewMotivationandPurposeMaterialsand

MethodsPreliminary

ResultsFutureWorksReferences1OutlineIntroduction2IntroductionDiabetesinTaiwanAmongthepopulationover65yearsold20%oftheyarediabeticTenmajorcausesofdeathin2007.tw/Diabetes糖尿病2IntroductionDiabetesinTaiwa3IntroductionWhatisdiabetes?Diabetesisadiseaseinwhichthebodydoesnotproduceorproperlyuseinsulin.TypeITypeIITypeIIIOtherComplicationofDiabetesPathologicalchangeNerveEyesHeartvesselKidneyInfectionofthefootEyesPathologicalchangeInfectionofthefootpathologicalchangeDiabetes糖尿病3IntroductionWhatisdiabetes?4IntroductionInspectionComputedTomography（CT）MagneticResonanceImaging(MRI)DigitalSubtractionAngiography（DSA）CTMRIDSA電腦斷層掃描磁振造影數(shù)位減法血管攝影4IntroductionInspectionCTMRIDS5PaperReviews(1)ComparisonofMajorBiometricsMethods◎:good,○:normal,×:insufficientJunichiHashimoto,”FingerVeinAuthenticationTechnologyanditsFuture”,IEEETrans.Med.Imaging,2006.5PaperReviews(1)Comparisonof6PaperReviews(1)FingerVeinImagingMethodLightReflectionMethodLightTransmissionMethodJunichiHashimoto,”FingerVeinAuthenticationTechnologyanditsFuture”,IEEETrans.Med.Imaging,2006.6PaperReviews(1)FingerVeinI7PaperReviews(2)Opticalwindowusedfordetectingtheveinpatterndeoxidizedhemoglobin[Hb]去氧血紅素oxidizedhemoglobin[HbO]含氧血紅素SeptimiuCrisan,JoanGavrilTarnovan,andTitusEduardCriUan,“ALowCostVeinDetectionSystemUsingNearInfraredRadiation”,IEEETrans.Biomed.Eng,2007.7PaperReviews(2)OpticalwindoPaperReviews(2)Whydoweselectthehand?Itisusuallyanuncoveredpartofthebodyandithassufficientmobility.Ithasareducedamountofhairespeciallyinthefrontofthehand.Theveinsareclosertothesurfacethaninotherpartsofthebodyandthereforeeasiertoscan.Theveinpatternisintricateenoughtoallowsufficientcriteriaforpositivelydetectingvarioussubjectsevenidenticaltwins.8SeptimiuCrisan,JoanGavrilTarnovan,andTitusEduardCriUan,“ALowCostVeinDetectionSystemUsingNearInfraredRadiation”,IEEETrans.Biomed.Eng,2007.PaperReviews(2)Whydowesele9MotivationandPurposeTodesignalow-costandaneasy-to-use3Dimagesystemonthefingerextremityandpersonaldatabases.9MotivationandPurpose10Materialsand

MethodsSystemFlowChart10MaterialsandMethodsSystem11Materialsand

Methods001002003步進(jìn)馬達(dá)控制電路006LED燈亮度調(diào)節(jié)器005007004001：攝像系統(tǒng)包括鏡頭與濾鏡。002：為觀察者手指放置基座。003：為一組平面之紅外線LED光源。004：紅外線LED燈亮度調(diào)節(jié)器005：為2組齒輪。006：為ㄧ步進(jìn)馬達(dá)。007：步進(jìn)馬達(dá)的控制電路11MaterialsandMethods001002012Materialsand

MethodsCameraModuleCamera-UI-1220752*480bmpLens-IDS-10FilterLens-B+WinfraredFilter093

LightSource-IRLEDNoteBook1.66GHz512MBDDRRAMWindowsXPMATLABLABView12MaterialsandMethodsCamera13Materialsand

MethodsStepperMotor(KH42HM2B021)六線式步進(jìn)馬達(dá),精度1.8DEG,兩相激磁StepperMotor步進(jìn)馬達(dá)13MaterialsandMethodsStepperMaterialsand

MethodsRadonTransformxyqqpqpf(x,y)P(p,q)LineintegralprojectionP(p,q)ofthetwo-dimensionalRadontransform.14上式的就是所謂f(x,y)的RadonTransform

MaterialsandMethodsRadonTraMaterialsand

MethodsFourierSliceTheorem

將上面固定角度所得到的，經(jīng)過傅立業(yè)轉(zhuǎn)換，定義成將代入得到轉(zhuǎn)換回(x,y)座標(biāo)系統(tǒng)得到15上式說明可看成為f(x,y)在的二維傅立業(yè)轉(zhuǎn)換即FourierSliceTheorem傅立業(yè)切片定理MaterialsandMethodsFourierSMaterialsand

MethodsFilteredBack-Projection(a)藍(lán)姆－拉克(Lam-Sak)(b)謝卜－羅庚(Shepp-Logan)(c)低通餘弦(lowpasscosine)(d)通用漢米(hamming)16FilteredBack-Projection濾波反投影MaterialsandMethodsFiltered綜合上述原理，整個平形光束反投影演算法之步驟整理如下：(1)定義投影角度之個數(shù)K與每次投影之角度，其中0<θ<180°(2)測量投影,(3)尋找每一投影函數(shù)(即Radon轉(zhuǎn)換)，(4)乘以加權(quán)因子(5)加總布満影像平面濾波投影後之反傅立業(yè)轉(zhuǎn)換(反投影處理)Materialsand

MethodsFilteredBack-Projection17因此經(jīng)過濾波後之其數(shù)學(xué)表示式如下：

而物體函數(shù)f(x,y)則為綜合上述原理，整個平形光束反投影演算法之步驟整理如下：MaMaterialsand

Methods183D影像疊成

利用不同角度之平行光束的投影的Radon轉(zhuǎn)後，再經(jīng)反傅立業(yè)轉(zhuǎn)換重建得到每一切面之?dāng)鄬佑跋襻?，接著我們只要把每一切面之邊緣對齊或利用連續(xù)曲線密合(fitting)，就可以得到我們想要的3D手指血管影像MaterialsandMethods183D影像疊成19PreliminaryResultsFingerveinacquisitionmoduleFingerVeinFingerVein19PreliminaryResultsFingerve20PreliminaryResults

UserInterface20PreliminaryResultsUserInt21PreliminaryResultsDifferentAngles

ofImages135°45°90°0°180°21PreliminaryResultsDifferent22FutureWorksTodistinguisharterialfromveinonfingerusingdevelopedsystem.Toreconstructionthe3Dimageusingdevelopedsystem.22FutureWorks23References行政院衛(wèi)生署(DepartmentofHealth,ExecutiveYuan,Taiwan,R.O.C).tw/鍾豐橋，人體手足末端血管紅外線影像擷取與量化分析系統(tǒng)之建立，南臺科技大學(xué)電機(jī)工程研究所碩士學(xué)位論文，2007。

JunichiHashimoto,”FingerVeinAuthenticationTechnologyanditsFuture”,IEEETrans.Med.Imaging

,2006.SeptimiuCrisan,JoanGavrilTarnovan,andTitusEduardCriUan,“ALowCostVeinDetectionSystemUsingNearInfraredRadiation”,IEEETrans.Biomed.Eng

,2007.MoulayAkhloufi,AbdelhakimBendada,“Handandwristphysiologicalfeaturesextractionfornearinfraredbiometrics”,2008.23References行政院衛(wèi)生署(Department24Thankyouforyourattention.24Pre-processingOriginalImageImageEnhancementAverageFilterBinaryMorphologyRemoveSmallRegionsMedianFilterPre-processingOriginalImageIm2626所謂斷層掃描（tomography），是以大量經(jīng)過物體截面的衰減訊號來產(chǎn)生斷面影像。早在1917年Radon發(fā)表可以從投影（projections）數(shù)據(jù)重建原函數(shù)的理論（Radon,1917），即已奠