Modeling and Features Extraction of Blood Vessels based on Soft Regional Segmentation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241601" target="_blank" >RIV/61989100:27240/18:10241601 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85052868511&origin=resultslist&sort=plf-f&src=s&sid=ccee54aa40814fb6d866f65604a4c9df&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2824823900000%29&relpos=21&citeCnt=0&searchTerm=" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85052868511&origin=resultslist&sort=plf-f&src=s&sid=ccee54aa40814fb6d866f65604a4c9df&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2824823900000%29&relpos=21&citeCnt=0&searchTerm=</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>

Jazyk výsledku

angličtina

Název v původním jazyce

Modeling and Features Extraction of Blood Vessels based on Soft Regional Segmentation

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Modeling and Features Extraction of Blood Vessels based on Soft Regional Segmentation

Popis výsledku anglicky

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

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-03037S" target="_blank" >GA17-03037S: Hodnocení investic do vývoje zdravotních prostředků</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

IFAC-PapersOnLine. Volume 51

ISSN

2405-8963

e-ISSN

—

Svazek periodika

51

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

366-371

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85052868511