




版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請(qǐng)進(jìn)行舉報(bào)或認(rèn)領(lǐng)
文檔簡(jiǎn)介
醫(yī)學(xué)影像分析與實(shí)作
2020/12/191OUTLINEImageacquisitionmethodImageenhancementMethodsofQualitativeImageAnalysisExampleforclinicalmedicalimageanalysis2020/12/192Mostnuclearmedicineimagingsystemspresenttheirinformationasdigitalimages.Adigitalimageisstoredinthecomputerasanarrayormatrixofcountvaluesandisdisplayedbyassigningagrayorcolorscalethatdependsonthenumberofcountsineachelement.
2020/12/193DigitalImageTheImagearraysaresquarematricesthathavedimensionsrangefrom32*32upto1024*1024Innuclearmedicine:32*32,64*64,128*128,256*256,512*512,1024*1024Bytemode&wordmode
2020/12/194ImageformationFrameModeListModeDualIsotopeImaging2020/12/195Framemode X-YcoordinateBytemode:256grayscale1byte=8bitsWordmode:65535grayscale2byte=1word2020/12/196Listmode2bytedataseriesEventaddressesTimeflagListmodecanbeformattedanyframesizeListmodeneedmorememory2020/12/197SamplingSamplingsize:pixelsize(mm)=fieldofview(mm)/#ofpixelsWhatshouldthepixelsizebe?1.Thespatialresolutionofimagingsystem2.Thesmallestobjectofinterestintheimage3.Thetimeittakestoperformanyprocessingsteps.4.Theamountofstorageandarchivalspaceavailable.2020/12/198InformationDensityWhatinformationcanweexpecttoperceiveatagivencountdensity?☆thisdependsonthesizeofthesmallestregionintheimageyouaretryingtoperceiveanditsapparentcontrasttothesurroundingbackground.※Howtodefinetheimageinformationdensity?n>k2/C2d2
n:estimatethecountdensityk:thesignal–to–noiseratio(3~5)C:imageconstrastd:imagediameter◎Imageconstrast=(objectcountdensity-backgroundcountdensity)/backgroundcountdensity2020/12/199ImageAcquisitionStaticstudiesWhole-BodyImagingDynamicstudiesGatedAcquisitionSPECTAcquisition2020/12/1910DataAcquisitionMethodFrameModeListMode2020/12/1911FramemodeAcquisitionPictureelements64*64128*128256*256Pixel:PictureelementSquaremosaic:Imagematrix,Imagearraypixelarray2020/12/1912ResolutionSpatialResolutionTemporalResolutionEnergyResolution2020/12/1913SpatialResolution Eachpixelintheimagematrixhasone-to-onecorrespondencewithagivenlocationintheplaneofNaIcrystalEx:GammacameraFOV=40cmdiameterFor64*64S.R=400/64=6.25mm/pixelFor128*128S.R=400/128=3.13mm/pixel2020/12/1914StatisticalNoise2020/12/1915IncreaseSpatialresolutionZoomingHardwareSoftwareZoomcan(1)decreaseBackgroundcount(2)increaseresolutionThespatialresolutionofcomputerimageisultimatelylimitbyresolutionofgammacamera2020/12/1916BytemodeV.S.Wordmode1Byte=28bits=256(0-255)1Word=216bits=65536(0-65535)1Word=2Bytes2020/12/1917BytemodeV.S.WordmodeBytemodeAcquisition:apixeldeepis1byteWordmodeAcquisition:apixeldeepis2byteWhatKindoftheacquisitionmodeweshouldused?Inlowcountstudies=>BytemodeInHighcountstudies=>Wordmode2020/12/1918BytemodeV.S.WordmodeBytemode優(yōu)點(diǎn):lessmemory缺點(diǎn):1.deadtime2.truncationerrorWordmode優(yōu)點(diǎn):1.Nodeadtime2.Notruncation缺點(diǎn):morememory
Overflow:Deadtime:Truncation:2020/12/1919臨床診斷上使用的應(yīng)用軟體影像增強(qiáng)(Imageenhancement)量化分析(QualitativeImageanalysisECT影像重建(ECTimagereconstruction)2020/12/1920ImageEnhancementImagesmoothingfiltersP72020/12/1921ImageEnhancementNine-pointsmooth(mask)w1 w2 w3w4 w5 w6w7 w8 w91111111112020/12/1922ImageEnhancement2020/12/1923ImageEnhancement2020/12/1924ImageEnhancementMediumsmoothHalfwaymask=>replaceaverage(weight)>50%countvalue(mask)<50%countvalue(Keep)2020/12/19252020/12/19262020/12/1927ImageEnhancementEdge-enhancementfilter(sharpenmask)Mask:(2N+1)*(2N+1)2020/12/19282020/12/1929ImageEnhancementPointprocessingoperationsBackgroundsubtractionGrayscalesColortranslationtableFrameprocessingoperationex:Parathyroidscanstudy2020/12/1930Parathyroidsubtractuin2020/12/1931ImageEnhancement-1-1-1-18-1-1-1-12020/12/1932影像量化分析ROI(regionofinteresting)createHistogramcreateAnalysisROIandHistogramClinicalmathematic2020/12/1933PointprocessingoperationBackgroundsubtraction(pixel-by-pixel)2020/12/1934PointprocessingoperationInterpolatedbackgroundsubtraction(weight)Wa=Xb/XaWb=Xa/XbWc=Yd/YcWd=Yc/YdXa:Q距A點(diǎn)距離Xb:Q距B點(diǎn)距離Yc:Q距C點(diǎn)距離Yd:Q距D點(diǎn)距離2020/12/1935GrayscalesandcolortableGrayscale(dynamicrange)thenumberofshadesofgraybetweenthesetwoextremesType:Linearexponentiallogarithmic2020/12/1936Grayandcolortable2020/12/1937Grayscalesandcolordisplay2020/12/1938Grayscalesandcolordisplay2020/12/1939Lungperfusion/ventilationratio2020/12/1940Tl201myocardialperfusionstudy2020/12/1941CreatingROIsAutomaticedgedetectionmethods:2020/12/1942CreateROIMethod:CircularROIRectangularROIIrregularROIAutomaticROI2020/12/1943CurveGenerationandAnalysisThestartingpointforanalyzingtheflowpatternquantitativelyistheconstructionofanactivity-versus-timecurve.MethodEye-ballingThemoveaveragemethodTheweightedmoving-averagemethod2020/12/1944TheMovingAveragemethod2020/12/1945TheMovingAveragemethod2020/12/1946DatasmoothingbycurveFitting2020/12/1947ClinicalMathematicinNuclearMedicineNuclearCardiologyMultiple-gateequilibriumFirstpassblood-poolStaticmyocardialperfusionstudyRenalfunctionGFRKidneyradioERPFDiureticrenography(Lasix)CaptoprilrenographyOther2020/12/1948ExampleforVentricularEjectionFraction2020/12/1949Multiplegatemode2020/12/1950EjectionFraction2020/12/1951EjectionFraction2020/12/1952EjectionFraction2020/12/1953EjectionFraction2020/12/1954Ejectionfraction2020/12/1955Gastricemptytimestudy2020/12/1956Exampleforrenalfunction2020/12/1957AnalysistoolsForrenalimageratio:1.Arithmeticmethod2.GeometricmethodForfunctionalimage:1.ROI(regionofinteresting)2.Histogram(Timeactivitycurve,TAC)3.Curvefitting2020/12/1958Arithmeticv.s.GeometricROIinformation(RINFO)Renalimageratio2020/12/1959ImageratioArithmeticmethod:anteriorview:rightkidneycount(Ra)leftkidneycount(La)posteriorview:rightkidneycount(Rp)leftkidneycount(Lp)mean:(Ra+Rp)/2=Rm,(La+Lp)/2=LmRatio:Kr=Rm/(Rm+Lm),Kl=Lm/(Rm+Lm)
2020/12/1960ImageratioGeometricmethod:anteriorview:rightkidneycount(Ra)leftkidneycount(La)posteriorview:rightkidneycount(Rp)leftkidneycount(Lp)mean:Ratio:Kr=Rm/(Rm+Lm),Kl=Lm/(Rm+Lm)2020/12/1961Gate’smethod
2020/12/1962StartCreateROICreateBackgroundROIFramegroupingCreateTAC(timeactivitycurve)ChoiceintegralareaFinalreportEndProcedureFlowChart2020/12/1963GFRrenalfunctionstudy2020/12/1964Conclusion核子醫(yī)學(xué)造影檢查造影過程電腦資料分析未來發(fā)展趨勢(shì)TraceKineticsmodelMathematicToolsNewProcedureMorepowerfulImageprocesstool2020/12/1965THEEND2020/1
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請(qǐng)下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請(qǐng)聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會(huì)有圖紙預(yù)覽,若沒有圖紙預(yù)覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫(kù)網(wǎng)僅提供信息存儲(chǔ)空間,僅對(duì)用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對(duì)用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對(duì)任何下載內(nèi)容負(fù)責(zé)。
- 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請(qǐng)與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時(shí)也不承擔(dān)用戶因使用這些下載資源對(duì)自己和他人造成任何形式的傷害或損失。
最新文檔
- 園林綠化工程施工方案與預(yù)算
- 幼兒心理健康教育在線課程測(cè)試題
- 建筑項(xiàng)目工程創(chuàng)優(yōu)實(shí)施方案詳解
- 大型水庫(kù)施工組織設(shè)計(jì)方案
- 軟件開發(fā)團(tuán)隊(duì)協(xié)作流程
- 《水滸傳》教學(xué)案例與課堂設(shè)計(jì)
- 電商平臺(tái)運(yùn)營(yíng)數(shù)據(jù)分析與銷售策略
- 醫(yī)院護(hù)理專業(yè)團(tuán)隊(duì)調(diào)研報(bào)告
- 放射科安全培訓(xùn)試題及答案解析
- 礦業(yè)安全員考試題庫(kù)及答案解析
- 2025年學(xué)前衛(wèi)生學(xué)自考試題及答案
- 商業(yè)店鋪施工方案
- 新車車輛交接協(xié)議書范本
- 工程招標(biāo)代理機(jī)構(gòu)自查整改報(bào)告范文
- 心源性腦栓塞治療指南
- 2025-2026學(xué)年接力版(2024)小學(xué)英語四年級(jí)上冊(cè)(全冊(cè))教學(xué)設(shè)計(jì)(附目錄)
- 婦女常見疾病防治講座
- 廠房屋頂分布式光伏項(xiàng)目可行性研究報(bào)告
- 供貨進(jìn)度保證措施方案
- 私人財(cái)產(chǎn)轉(zhuǎn)移協(xié)議書范本
- DB3301∕T 0396-2023 大型商業(yè)綜合體消防安全管理規(guī)范
評(píng)論
0/150
提交評(píng)論