An Improved Method Based on Dynamic Programming for Tracking the Central Axis of Vascular Perforating Branches in Human Brain
In the traditional method, generally, it is hard to track the vascular perforating branches in human brain, considering the lower spatial resolution of MRI and involuntary movement of human head. Firstly, the method makes full use of the fuzzy distance transform (FDT) and the local significant factor (LSF) to accurately extract the pivot points in the blood vessel. Then, we improve the original method essentially that the step size is adaptively adjusted according to the curvature of the blood vessel and grayscale information of the vascular perforating branches in MRI data. Thirdly, the central axis of the blood vessel is smoothly and accurately tracked by using the minimum cost path based on dynamic programming. Experiments show that the central axis of vascular perforating branches can be tracked effectively by the improved method.
KeywordsFuzzy distance transform Local significant factor Minimum cost path
This work was supported in part by the project for the innovation and entrepreneurship in XUPT (2018SC-03), the Key Lab of Computer Networks and Information Integration (Southeastern University), Ministry of Education, China (K93-9-2017-03), the Department of Education Shaanxi Province (15JK1673), Shaanxi Provincial Natural Science Foundation of China (2016JM8034, 2016JQ5051).
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