Original title: Segmentation of Blood-Vessel Tree in Whole-Body MRI Data
Authors: Guricová, K.
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The aim of this paper is to introduce a method of blood-vessel tree segmentation in 3D volume and the visualization of the processed data. The method is based on the detection of tubular structures which the blood-vessels resemble. The processing is based on the information that is carried in the derivatives of the original volume. Second derivatives of each voxel are computed and organized into a Hessian matrix. The used method is based on the calculation of the eigenvalues of this matrix for each voxel. Those eigenvalues carry the information of the structure shape. Based on this information, a new parametric volume is created that represents the ’vesselness’of each voxel. The processed volume is visualized with Visualization ToolKit.
Keywords: blood-vessel tree; eigenvalues; Hessian matrix; MRI; segmentation
Host item entry: Proceedings of the 21st Conference STUDENT EEICT 2015, ISBN 978-80-214-5148-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/42932

Permalink: http://www.nusl.cz/ntk/nusl-220462


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