Estimating the geometric features of a 3d vascular structure
N.Yu. Ilyasova

Image Processing Systems Institute, Russian Academy of Sciences,
Samara State Aerospace University

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Full text of article: Russian language.

DOI: 10.18287/0134-2452-2014-38-3-529-538

Pages: 529-538.

Abstract:
Methods and algorithms for estimating the geometric features of 2D and 3D tree-like structures are proposed. The methods have major application areas in biomedical problems associated with the analysis and measurement of vascular system peculiarities: 2D eye-retina structure and 3D cardiovascular system. The immunity of the estimation methods to different types of noise and the feasibility of the feature-based clustering of vessel samplings are experimentally studied.

Key words:
human vascular system, geometric features.

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