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.
This paper is supported by "Natural Science Foundation of Shanghai (05ZR14081)".
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Hao, J.T., Li, M.L., Tang, F.L. (2006). An Improved Statistical Approach for Cerebrovascular Tree Extraction. In: Yang, GZ., Jiang, T., Shen, D., Gu, L., Yang, J. (eds) Medical Imaging and Augmented Reality. MIAR 2006. Lecture Notes in Computer Science, vol 4091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11812715_43
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DOI: https://doi.org/10.1007/11812715_43
Publisher Name: Springer, Berlin, Heidelberg
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