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Proceedings Paper

Recognition of the objects contours in CT and MRI images
Author(s): Aleksandr V. Dol; Dmitriy V. Ivanov
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Paper Abstract

Biomechanical modeling is used for preoperative planning of surgical treatment and allows you to choose the most rational option from the mechanical point of view. At the same time, the basic data for building models of the biological objects under study are the data of computed tomography (CT) and magnetic resonance imaging (MRI). To optimize and partially automate the process of constructing models of biological objects in Delphi, a software was developed that allows determining the outlines of areas corresponding to the object under examination on CT and MRI slices, to build a flat closed curve corresponding to the contour of a specific vessel lumen, to save data about the constructed curve to a file whose format corresponds to the format storage of curves in the software package Solid Works. The method of recursive two-dimensional frontal growth allows cutting off (due to the choice of the starting point) all “extra” shear vessels, which along with the section of interest can fall on the processed section. If the boundary of the object is determined, the algorithm does not imply further checks of the remaining pixels to reduce the number of operations and optimize the use of computer resources. In this case, the sensitivity of the method (the numerical value for the similarity criterion of pixels) can be changed manually by the user. Within the framework of the study, the frontal growth method is programmatically implemented. The created application allows you to create three-dimensional solid-state models of sections of the vascular bed on the basis of data from medical diagnostic equipment in a semi-automatic mode. This approach can significantly reduce the execution time of numerical modeling of hemodynamics of blood vessels.

Paper Details

Date Published: 21 February 2020
PDF: 4 pages
Proc. SPIE 11229, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII, 112291H (21 February 2020); doi: 10.1117/12.2542204
Show Author Affiliations
Aleksandr V. Dol, Saratov State Univ. (Russian Federation)
Dmitriy V. Ivanov, Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 11229:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII
Anita Mahadevan-Jansen, Editor(s)

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