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Segmentation of blood-vessel tree in whole-body MRI data
 Guricová, Karolína ; Lamoš, Martin (oponent) ; Kolář, Radim (vedoucí práce)
The text brie y describes the anatomy and properties of the blood-vessel system to introduce the characteristics that enable segmentation. Firstly, some of the methods for segmentation of tubular structures from 3D CT or MRI scan are described. Moreover, the approaches using the second derivatives and Hessian matrix are elaborated. To determine the 'vesselness' in the original image, the eigenvalues of Hessian matrix of each voxel of the MRI data volume are computed. Several methods to produce the segmented output image based on these eigenvalues are suggested. The segmentation is implemented in MATLAB. The segmented arterial system is visualized with VTK encoded in Python. Additionally, a GUI is designed to allow measurements within the segmented volume. The lengths of the arteries are measured as a linear approximation of their paths and the results are presented in this work. The limitations of this method
Úplný záznam
Segmentation of blood-vessel tree in whole-body MRI data
 Guricová, Karolína ; Lamoš, Martin (oponent) ; Kolář, Radim (vedoucí práce)
The text brie y describes the anatomy and properties of the blood-vessel system to introduce the characteristics that enable segmentation. Firstly, some of the methods for segmentation of tubular structures from 3D CT or MRI scan are described. Moreover, the approaches using the second derivatives and Hessian matrix are elaborated. To determine the 'vesselness' in the original image, the eigenvalues of Hessian matrix of each voxel of the MRI data volume are computed. Several methods to produce the segmented output image based on these eigenvalues are suggested. The segmentation is implemented in MATLAB. The segmented arterial system is visualized with VTK encoded in Python. Additionally, a GUI is designed to allow measurements within the segmented volume. The lengths of the arteries are measured as a linear approximation of their paths and the results are presented in this work. The limitations of this method
Úplný záznam
Segmentation of Blood-Vessel Tree in Whole-Body MRI Data
 Guricová, K.
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.
Úplný záznam

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