简介:Inthispaper,weproposeamethodtoimproveanti-radiationcapabilitybycoatingheavymetalX-rayprotectionglasswithcompoundphotoniccrystallayers,basedontheuniquepropertyofphotoniccrystalthatlightcannotbepropagatedwithintherangeofbandgaps.Usingtheplanewaveexpansionmethod,wemadeatheoreticalstudyofparametersaffectingthebandgapstructuresofone-dimensionalphotoniccrystals.Basedonthefindings,wechoseappropriatematerialsandcompoundstructureofphotoniccrystalsoastogethighX-rayreflectioncoatingphotoniccrystallayers.Bythismethod,thereflectionratewithinX-raywavelengthcanreachthemaximumvalueof100%,andtheaveragevalueofover90%.Evenlow-costheavymetalX-rayprotectionglassofabsorptioncoefficientvaluecanachievethedesiredeffect.Thus,thismethodgreatlydecreasestheanti-radiationrequirementsofheavyX-rayprotectionglass.
简介:Phasecontrastimagingtechniquehasbeenimprovedpromptlyinrecentyears.Amongthesetechniquesin-linephase-contrastimagingiswidelyused.Variousalgorithmsforin-linephaseretrievalhavebeenproposedsofarsuchasTIE(transportofintensityequation),CTF(contrasttransferfunction),firstborn-approximations,GSF(Gerchberg-Saxton-Fienup),etc.Bronnikov'salgorithm(BA)isatypeoflinearalgorithmthatissimpleandefficient.Butitcanonlybeusedwithoutabsorptionsituations.Inthispaper,animprovedalgorithmbasedonBAwaspresented.TheapproachaddsΔφ(x,y)tothephasemapφ_b(x,y)retrievedbyBAtomakethereconstructedphasemapmoreprecise.Further,theapproachwasevaluatedonsimulatedimagesandconfirmedtobeaccurateathigherabsorptionrates.
简介:目的探讨超微血管成像(SMI)技术诊断腕管综合征(CTS)可行性。方法选择10例(18腕)经电生理检查诊断为CTS患者(CTS组),其中男性2例(4腕),女性8例(14腕);年龄39-70岁,平均年龄58.22岁。21例健康志愿者(对照组),其中男性2例(4腕),女性19例(38腕);年龄41-76岁,平均年龄54.43岁。行超声检查,在豌豆骨与舟状骨水平测量正中神经横截面积(CSA),采用SMI技术对正中神经内血流半定量评分并测量峰值血流速度,将CTS组与对照组进行对比研究,利用受试者工作特征曲线(ROC)确定不同方法的诊断阈值,比较不同方法的诊断价值。结果CTS组正中神经CSA、血流半定量评分和峰值血流速度均高于对照组[(0.13±0.03)cm^2vs(0.10±0.02)cm^2,(3.17±0.71)vs(1.50±0.55),(5.71±4.86)cm/svs(2.74±0.44)cm/s],两组比较,差异具有统计学意义(P〈0.05)。CSA的诊断阈值为≥0.12cm-2,灵敏度为67%,特异度为83%,曲线下面积为0.84(P=0.000)。血流半定量评分的诊断阈值为≥3,灵敏度为83%,特异度为98%,曲线下面积为0.95(P=0.000)。峰值血流速度的诊断阈值为3.2cm/s,灵敏度为83%,特异度为83%,曲线下面积为0.88(P=0.000)。应用SMI对正中神经内血流进行半定量评分及测量峰值血流速度诊断CTS均优于测量CSA。结论SMI技术评价正中神经内部血流信号有助于诊断CTS。