Modeling and features extraction of blood vessels based on soft regional segmentation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F18%3AE0107323" target="_blank" >RIV/00843989:_____/18:E0107323 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.ifacol.2018.07.181" target="_blank" >http://dx.doi.org/10.1016/j.ifacol.2018.07.181</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2018.07.181" target="_blank" >10.1016/j.ifacol.2018.07.181</a>

Result language

angličtina

Original language name

Modeling and features extraction of blood vessels based on soft regional segmentation

Original language description

Analysis and visualization of the blood vessels has a crucial impact for the clinical practice. One of the most important aspects of such analysis is the blood vessels features extraction characterizing their state and manifestation. Such procedure may be done by using the mathematical modeling of the blood vessels which is not conventionally possible from the native records. We have proposed a mathematical segmentation model for extraction and modeling of the blood vessels structure from the CT angiography native records with a target of differentiation of the physiological blood vessels from calcification spots indicating areas where the blood vessel is damaged. Such model consequently allows for objective quantification of the calcification amount, as an important clinical parameter of the damage level of the blood vessel. The method is based on the histogram partitioning, and consequent classification via predefined number of the fuzzy triangular classes representing individual parts of the blood vessels. Consequent part of the segmentation model takes into account spatial relations inside of each region to make a model accurate, and robust against the noise and artefacts. As a part of our analysis we have tested the computation complexity of the proposed segmentation model. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

30224 - Radiology, nuclear medicine and medical imaging

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

IFAC-PapersOnLine

ISBN

—

ISSN

2405-8963

e-ISSN

—

Number of pages

6

Pages from-to

366-371

Publisher name

Elsevier Inc.

Place of publication

New York : Elsevier Inc.

Event location

Ostrava, Czech Republic

Event date

May 23, 2018

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000445644900062