Local optimal threshold segmentation and reconstruction of cerebrovascular MRA images

Otsu algorithm is a common method in adaptive optimal threshold selection for image segmentation. It is used to calculate the optimal threshold of image segmentation by the maximal between-class variance automatically. However, the Otsu method highly depends on the distribution of the valley-peak in...

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Bibliographic Details
Published in2012 5th International Conference on Biomedical Engineering and Informatics pp. 300 - 303
Main Authors Zhang, Bianka, Zhengwei Xing, Jianfeng He, Sanli Yi, Lei Ma
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Image segmentation
MRA
Otsu method
Reconstruction
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Summary:Otsu algorithm is a common method in adaptive optimal threshold selection for image segmentation. It is used to calculate the optimal threshold of image segmentation by the maximal between-class variance automatically. However, the Otsu method highly depends on the distribution of the valley-peak in the image histogram, which may lose details in the segmentation of cerebrovascular in magnetic resonance angiography (MRA) image. According to the anatomic structure of cerebral vascular and the characteristics of the MRA images, we use a method that segments the cerebral MRA data-sets by combining with contrast-enhanced and local adaptive threshold, and then reconstruct the segmented image sequence using the Visualization Toolkit (VTK). The experimental results demonstrate that the applied method can compensate the weakness of the Otsu method on cerebrovascular segmentation of MRA images.
ISBN:9781467311830
1467311839
DOI:10.1109/BMEI.2012.6513163