Search and Implementation of Optimization Algorithms in Analysis of Ultrasonic Pictures in Neurology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86083970" target="_blank" >RIV/61989100:27240/13:86083970 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/13:86083970

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-30504-7" target="_blank" >http://dx.doi.org/10.1007/978-3-642-30504-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-30504-7" target="_blank" >10.1007/978-3-642-30504-7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Search and Implementation of Optimization Algorithms in Analysis of Ultrasonic Pictures in Neurology

Popis výsledku v původním jazyce

This contribution deals with search and implementation of optimization algorithms in analyzing and evaluating objects of interest present in ultrasound images as well as assessing the progress or regressions illustrated in these objects. These objects are highly significant from a medical perspective and include atherosclerotic plaque in carotid arteries, the intima-media thickness in the distal part of the common carotid artery, cerebral cortex size and brain stem findings in cases of Parkinson disease. Here, we describe procedures employing common principles and methods for recognizing points of interest in images that may serve in finding and determining pixel coordinates and other parameters and properties of analyzed objects. We use the stochasticoptimization algorithm to optimize the energy function of deformable models used to approximate the locations and shapes of object boundaries in medical images. We suppose that evolutionary algorithm called SOMA can be used to find the d

Název v anglickém jazyce

Search and Implementation of Optimization Algorithms in Analysis of Ultrasonic Pictures in Neurology

Popis výsledku anglicky

This contribution deals with search and implementation of optimization algorithms in analyzing and evaluating objects of interest present in ultrasound images as well as assessing the progress or regressions illustrated in these objects. These objects are highly significant from a medical perspective and include atherosclerotic plaque in carotid arteries, the intima-media thickness in the distal part of the common carotid artery, cerebral cortex size and brain stem findings in cases of Parkinson disease. Here, we describe procedures employing common principles and methods for recognizing points of interest in images that may serve in finding and determining pixel coordinates and other parameters and properties of analyzed objects. We use the stochasticoptimization algorithm to optimize the energy function of deformable models used to approximate the locations and shapes of object boundaries in medical images. We suppose that evolutionary algorithm called SOMA can be used to find the d

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Handbook of optimization : from classical to modern approach

ISBN

978-3-642-30503-0

Počet stran výsledku

21

Strana od-do

575-595

Počet stran knihy

1099

Název nakladatele

Springer Heidelberg

Místo vydání

Berlín

Kód UT WoS kapitoly

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