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The description and visualization of a vascular tree from 3D MR brain angiographic images

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Abstract

A description of 3D brain angiographic images discussed in this paper consists of several steps: (1) segmentation; (2) cavity deletion; (3) skeletonization; (4) characteristic table building. Topology structures, length, cross section area and volume measurements are computed for all trees of vascular network. Results are saved in an XML file. A human user can then work with the quantitative data in an interactive visualization system developed for virtual navigation through the extracted vascular network.

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Authors and Affiliations

  1. Department of Discrete Mathematics and Algorithmics, Belarussian State University, F. Skaryna av. 4, Minsk, 220050, Belarus

    D. V. Sanko

  2. United Institute of Informatics Problems of the National Academy of Science of Belarus, Surganova 6, Minsk, 220012, Belarus

    A. V. Tuzikov

Authors
  1. D. V. Sanko
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  2. A. V. Tuzikov
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Additional information

The text was submitted by the authors in English.

This work was partially supported by ISTC, project no. B1013p.

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Sanko, D.V., Tuzikov, A.V. The description and visualization of a vascular tree from 3D MR brain angiographic images. Pattern Recognit. Image Anal. 16, 54–57 (2006). https://doi.org/10.1134/S1054661806010172

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  • DOI: https://doi.org/10.1134/S1054661806010172

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