简介:Interactivepickingisafundamentaltaskforprocessingdigitalgraphicsandimages.Combiningtwo-dimensional(2D)andthree-dimensional(3D)viewsisanimportanttrendinprocessingmedicalsliced-geometries.Withthegoalofaccuratelypickingpointsinsliced-geometries,wepresentamethodtopickpointsinteractivelybycombining2Dand3Dviewsofsliced-geometries.Fourviewwindowsareconstructedtorendersliced-geometriesusingmedicalimaginginteractiontoolkit(MITK):threefor2DslicesparalleltotheXY,YZ,andXZplanesandoneforsurfacerendering.Pointspickedinaviewwindowcanberenderedandmodifiedinanywindow.Afterapointispicked,itisimmediatelyconvertedintoaworldcoordinateandstored.Pointsareonlyrenderedandmodifiedbasedontheirworldcoordinates.Thispickingmethodcanbeusedforfitting,observing,andmeasuringlocalregions.Thismethodcanalsobeusedforinteractivesegments.Ourexperimentshowsthatthepickingmethodisaccurateandhasareal-timepickingeffect.
简介:Totesttheaccuracyofanewfingerprintscanner,researcherstypicallyrunmillionsofknownfingerprintimagesthroughthesystem'smatchingsoftware.Butthistestingprocedurecan'tquitemimicrealoperatingconditions,asa2-Dimagefedintoaprogramisfundamentallydifferentthana3-Dfingerpressedtoasensor.
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简介:Comparedwithtraditionalmagneticinductiontomography(MIT)system,theinnovationofthispaperisthatthefunctionofvoicebroadcastbasedonWT588Dmoduleisaddedtothesystem.ThenewMITsystemavoidsfrequentlylookingintotheinstrumentanddecreasessartificiallyreadingresidualfromthehardwaredebuggingtothetestprocess.Itmakestheprocessofdataacquisitioneasierandenhancestheaccuracyandefficiencyofdetectioninthesystem.Italsogivesadetaileddescriptiontooptimizethedesignofsoftwareandhardware.Thevoicebroadcastsubsystemhastheadvantagesofsimpleintegralstructure,highqualitysound,lowcost,convenientfunctionexpansion,whichcanbeusedasatemplatebasedontheWT588Dmodularappliedinotherrelatedfields.
简介:Inrecentyears,thevolumetricapproachof3Dreconstructionhasemergedasapowerfulclinicmethodforbiomedicalapplications.Thisapproachisbasedonavoxelrepresentedobjectwhichmaintainsmanydetailsofthesurfaceandtheinternalcon-structuresoftheoriginalbody.Becauseofahugeamountofdata,thevolumedatasettakesalargesizeofmemory,andahighprocessingspeedisrequiredinorderto
简介:Usingofactivecardiacmedicaldevicesincreasessteadily.InEurope,therewere183implantsofICDand944implantsofPM,119ofbiventricularICDand41ofbiventricularPM,allpermillionin-habitantsin2014.Healthcareenvironments,includingradiotherapytreatmentrooms,areconsideredchallengingfortheseimplantabledevices.Exposuretoradiationmaycausethedevicetoexperienceprematureelectivereplacementindicator,decreasedpacingamplitudeorpacinginhibition,inappropri-ateshocksorinhibitionoftachyarrhythmiatherapyandlossofdevicefunction.
简介:Cellaffinityisanimportantfactortobeconcernedwhenbiodegradablepolymericmaterialsareutilizedascellscaffoldintissueengineering.Manystudieshaveprovedthathydrophilicity,surfaceenergy,chargeandroughnessofthematerialsurfacegreatlyinfluencethecellattachmentandcellgrowthonthematerial.
简介:Inordertoeliminatedisplacementandelasticdeformationbetweenimagesofadjacentframesincourseof3Dultrasonicimagereconstruction,elasticregistrationbasedonskeletonfeaturewasadoptinthispaper.Anewautomaticallyskeletontrackingextractalgorithmispresented,whichcanextractconnectedskeletontoexpressfigurefeature.Featurepointsofconnectedskeletonareextractedautomaticallybyaccountingtopicalcurvatureextremepointsseveraltimes.Initialregistrationisprocessedaccordingtobarycenterofskeleton.Whereafter,elasticregistrationbasedonradialbasisfunctionareprocessedaccordingtofeaturepointsofskeleton.Resultofexampledemonstratethataccordingtotraditionalrigidregistration,elasticregistrationbasedonskeletonfeatureretainnaturaldifferenceinshapefororgan'sdifferentpart,andeliminateslightelasticdeformationbetweenframescausedbyimageobtainedprocesssimultaneously.Thisalgorithmhasahighpracticalvalueforimageregistrationincourseof3Dultrasoundimagereconstruction.
简介:在生物医学的图象数据的显示,操作和分析的进程,他们通常需要通过插值的进程被变换成各向同性的discretization的数据,当立方的卷绕旋转插值广泛地由于它在计算费用和精确性之间的好折衷被使用时。在这份报纸,我们在场为3D的一个整个概念医药图象插值基于立方的卷绕旋转,和六个方法与不同锋利的控制参数,它在细节被提出。而且,我们也与不同的片间距用数据集合为这些方法给客观比较。在这些数据集合的每片被每个插值方法并且与原来的片相比用三项措施估计:摆平平均数的差别,争论的地点的数字,和最大的差别。根据试验性的结果,我们在场为3D的一个建议在不同状况下面的医药图象最后。
简介:据JohnsonBN2015年9月18日(AdvancedFunctionalMaterials,2015.doi:10.1002/adfm.2015017.)报道,美国明尼苏达大学、普林斯顿大学研究人员发现3D打印技术或许有助于神经系统修复。神经系统疾病一直是困扰着医学工作者的一个难题。其中神经元的损伤是导致神经系统疾病的重要诱因。因此,如果要治疗这些疾病,如何修复受损神经元就成为了摆在科学家面前的头号难题。一直以来,人们都在寻找有效方法来促使受损神经元再生。研究人员在小鼠实验中证实了这一想法。利用3D扫描获得了小鼠坐骨神经的轮廓,然后再利用3D打印技术打造出了一个内含能够促进神经元再生化学成分的硅酮类支架。
简介:Segmentingwholeheartfromcardiaccomputedtomography(CTimagescanprovideanimportantbasisfortheevaluationofcardiacfunctionandhelpimprovetheaccuracyofclinicaldiagnosis.Manualsegmentationisthemostaccuratemethodforcardiacsegmentation.Butitistimeconsumingandnotsufficientlyreproducible.However,cliniciansstillrelyonthismethodinpracticalapplications.Soafullyautomaticmethodisneededtoimprovethesegmentationefficiency.Thispapeproposesaregistration-basedautomaticapproachforthree-dimensional(3DsegmentationofcardiacCTimages.TheproposedmethodutilizesthesimilarityocardiacCTimagesbetweendifferentindividuals,andusesregistrationtoachievethesegmentation.Affinetransformationisfirstlyimplementedtoachieveglobalcoarseregistration.Then,cubicB-splinesareusedtorefinethelocaldetailsinlocallyaccurateregistration.Mutualinformation(Ml)isusedasthesimilaritymeasure,andadaptivestochasticgradientdescent(ASGD)astheoptimizationalgorithm.Oumethodisappliedtothedual-sourcecardiacCTimagestosegmentwholeheartExperimentalresultsshowthattheproposedmethodcanautomaticallysegmentwholeheartfromcardiacCTimages.
简介:动态贝叶斯网络(dynamicbayesiannetwork,DBN)是一种基于时序表达数据构建基因调控网络的重要方法。然而目前的DBN方法因计算时间太长,结构不稳定,准确度低,对有效性有很大影响。根据动态贝叶斯网络的度量可分解性质,将动态贝叶斯网络分为初始网络与转移网络分别进行结构寻优,在寻优时将基于静态贝叶斯网络的最大权重生成树算法与贪婪搜索算法相结合,移植入动态贝叶斯网络中,建立基因调控网络模型。提出了一种从时序数据中构建基因调控网络的方法,克服了贝叶斯网络不能描述循环调控的缺陷,也从规模上简化了网络构建问题。通过与相关实验文献的对照,验证了提出方法的有效性,网络学习时间明显缩短,网络结构更加稳定。