Search and Implementation of Optimization Algorithms in Analysis of Ultrasonic Pictures in Neurology
The result's identifiers
Result code in 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>
Alternative codes found
RIV/61989100:27740/13:86083970
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Search and Implementation of Optimization Algorithms in Analysis of Ultrasonic Pictures in Neurology
Original language description
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
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Handbook of optimization : from classical to modern approach
ISBN
978-3-642-30503-0
Number of pages of the result
21
Pages from-to
575-595
Number of pages of the book
1099
Publisher name
Springer Heidelberg
Place of publication
Berlín
UT code for WoS chapter
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