A Statistical Local Binary Fitting Model for Blood Vessel Segmentation
Network structure such as blood vessels in medical images are important features for computer-aided diagnosis and follow-up of many diseases.In this study,a new model-based segmentation method is proposed to detect blood vessels in medical images.The Local Binary Fitting(LBF) model with statistical distribution function is used for this purpose.The brain tissues and cerebral vessels in the image are modeled by Gaussian distribution and uniform distribution respectively.The region distribution combined with the LBF model is used in curve evolution.And the level set method is developed to implement the curve evolution to assure high efficiency of the cerebrovascular segmentation.Comparisons with the LBF method show that our model can achieve better results.
segmentation blood vessel intensity inhomogeneity
Shifeng Zhao Mingquan Zhou Kang Wang
College of Information Science and Technology Beijing Normal University Beijing, China
国际会议
太原
英文
1650-1653
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）