Recognition of the objects contours in CT and MRI images

Aleksandr V. Dol; Dmitriy V. Ivanov

doi:10.1117/12.2542204

21 February 2020 Recognition of the objects contours in CT and MRI images

Aleksandr V. Dol, Dmitriy V. Ivanov

Proceedings Volume 11229, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII; 112291H (2020) https://doi.org/10.1117/12.2542204
Event: SPIE BiOS, 2020, San Francisco, California, United States

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.

Citation Download Citation

Aleksandr V. Dol and Dmitriy V. Ivanov "Recognition of the objects contours in CT and MRI images", Proc. SPIE 11229, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII, 112291H (21 February 2020); https://doi.org/10.1117/12.2542204

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
4 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

3D modeling

Magnetic resonance imaging

Data modeling

Computed tomography

Solids

Arteries

RGB color model

Show All Keywords

Keywords/Phrases

Search In:

Publication Years