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An Improved Statistical Approach for Cerebrovascular Tree Extraction

  • J. T. Hao
  • M. L. Li
  • F. L. Tang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4091)

Abstract

In this paper, we present a statistical approach to aggregating shape and speed information for whole cerebrovascular tree extraction in time-of-flight magnetic resonance angiography (TOF-MRA). By embedding Frangi’s vesselness measure into the prior mopodel, the newly porposede segmentation framework can greatly improve the capability of detecting the tiny vessel branch.

Keywords

Statistical segmentation Time-of-flight Hessian matrices maximum a posteriori(MAP) estimation Markov Random field 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • J. T. Hao
    • 1
  • M. L. Li
    • 1
  • F. L. Tang
    • 1
  1. 1.Department of Computer Science and EngineeringShanghai Jiaotong UniversityShanghaiChina

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