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时间:2020-04-25
《一种面向人体管状组织的三维骨架提取算法-论文.pdf》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、第35卷第4期仪器仪表学报V0l_35No.42014年4月ChineseJournalofScientificInstrumentApr.2014一种面向人体管状组织的三维骨架提取算法耿欢,杨金柱,赵大哲,覃文军,袁玉亮(1.东北大学信息科学与工程学院沈阳110819;2.东北大学医学影像计算教育部重点实验室沈阳110179)摘要:针对人体管状组织的拓扑结构复杂、在影像上管壁存在噪声、骨架难以准确提取的问题,提出了一种新的基于快速步进方法(FMM)优化双距离场和改进SUSAN端点检测的全自动三维骨架提取方法。考虑近似欧拉距离计算会使骨架不
2、居中,文中采用快速步进方法构造三维高精度的双距离场,然后用最小代价路径机制搜索连通的、单像素宽的分支;融合源距离场极值和三维SUSAN形态特征检测分支端点,从而在抑制边界噪声的同时保持细微分支拓扑结构。将该方法用于对肺气管、脑血管、冠状动脉进行骨架提取,实验结果表明该方法更居中、更平滑、对边界噪声不敏感,较传统的双距离场方法、细化方法提高了骨架的准确性和计算效率。关键词:骨架;中心线;中心路径;水平集;快速步进中图分类号:TP391.41文献标识码:A国家标准学科分类代码:520.20403Dskeletonextractionalgori
3、thmforhumantubulartissuesGengHuan,YangJinzhu,ZhaoDazhe一,TanWenjun,YuanYuliang(.SchoolofInformationScience&Engineering,No~heasternUniversity,Shenyang110189,China;2.KeyLaboratoryofMedicalImageComputingofMinistryofEducation,NortheasternUniversity,Shenyang110179,China)Abstract
4、:Aimingattheproblemsofcomplextopologicalstmctureofhumantubulartissues,thenoiseexistingonthetubularwallintheimageandthedificultyinaccurateskeletonextraction,anovelautomatic3Dskeletonextractionmethodbasedonthedoubledistancetransformfieldsoptimizedbythefastmarchingmethod(FMM)
5、andtheimprovedSUSANendpointdetectionispresentedinthispaper.ConsideringthatapproximatecalculationofEulerdistancewillcausetheskeletonnotcentered,the3Ddoubledistancetransformfieldswithhighprecisionareconstructedwiththefastmarchingmethod,andthentheminimumcostpathmechanismisuse
6、dtosearchfortheconnected,singlepixelwidebranch.Thebranchendpointsaredetectedthroughfusingthelocalextremevalueofdistancefromsource(DFS)andthe3DmorphologicalcharacteristicsofSUSANcomerdetection;thetopologicalstructurewithfinebranchesispreservedwhiletheboundarynoiseisalsosupp
7、ressedatthesametime.Theproposedmethodwasusedintheskeletonextractionsofpatient—spe-cificlungtrachea,cerebralvascularandcoronaryartery.Experimentresultsshowthattheproposedmethodvallobtainmorecenteredandsmootherskeleton,islesssensitivetoboundarynoiseandcanimprovetheaccuracyan
8、dcomputationeficiencyofskeletonextractioncomparedwithconventionaldoubledistancefieldmetho
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