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PULMONARY VESSEL EXTRACTION BASED ON COHERENCE DIFFUSION AND FAST MARCHING
作者姓名:喻罡  卞正中  杨宇祥  缪亚林
作者单位:School of Life Science and Technology,Xi'an Jiaotong University,Xi'an 710049,China,School of Life Science and Technology,Xi'an Jiaotong University,Xi'an 710049,China,School of Life Science and Technology,Xi'an Jiaotong University,Xi'an 710049,China,School of Life Science and Technology,Xi'an Jiaotong University,Xi'an 710049,China
基金项目:TheworkwassupportedbytheNationalNaturalScienceFoundationofChina(No.60271022,60271025).
摘    要:Clinicalresearchshowsthattheanalysisofpul monaryvesselshelpidentifyingearlyfeaturesofre piratorypathologicchanges.Pulmonaryvesselex ractionplaysanimportantroleinmedicalimage processingandanalysis.Moreover,theresultsof vesselsegmentationprovideatoolforunde…

关 键 词:信号处理  电信  等高线模型  图像处理  张量
文章编号:1671-8267(2005)02-0110-03

PULMONARY VESSEL EXTRACTION BASED ON COHERENCE DIFFUSION AND FAST MARCHING
Yu Gang,Bian Zhengzhong,Yang Yuxiang,MiaoYalin.PULMONARY VESSEL EXTRACTION BASED ON COHERENCE DIFFUSION AND FAST MARCHING[J].Academic Journal of Xi’an Jiaotong University,2005,17(2):110-112,126.
Authors:Yu Gang  Bian Zhengzhong  Yang Yuxiang  MiaoYalin
Abstract:Objective To accurately extract pulmonary vessels on medical images. Methods An efficient vessel segmentation framework is presented, which includes a smoothing method and a extraction algorithm. The smoothing method is based on an improved coherence diffusion approach that integrates the second-order directional differential information. It can analyze weak edges such as narrow peak or ridge-like structures. Meanwhile, an improved extraction algorithm is proposed. It is based on a fast marching algorithm where a sorted sequence array and multi-initialization technique are applied. Results The improved coherence diffusion approach can precisely preserve important oriented patterns and remove noises on the images. Experimental results on several images show that the proposed method can effectively find the location of pulmonary vessels. Conclusion The segmentation method is accurate and fast that can be a useful tool for medical imaging applications.
Keywords:pulmonary vessel extraction  curve evolution  coherence diffusion  fast marching
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