Artery Wall Detection Based on Image Profile Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU105052" target="_blank" >RIV/00216305:26220/13:PU105052 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Artery Wall Detection Based on Image Profile Classification
Original language description
In this article we propose a new method for the accurate locating of points on the arterial wall in ultrasound images. The system takes as an input an ultrasound image that contains the common carotid artery, this image is the outcome of an object detector. The proposed method suggests a way to detect points on the arterial wall in the transverse section of the common carotid artery, because knowing the locus of these points is very essential in constructing the initial contour for a more detailed segmentation using Active contour algorithms. The detection of a circular object may seem a classic task in image processing, but ultrasound images have special characteristics that makes it a harder task which needs a different type of processing. The systemuses a Support Vector Machine classifier to classify image profiles in different positions in the image, in order to recognize the points on the arterial wall. This is an initial step towards the analysis of cardiac diseases, or for trac
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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
Article name in the collection
Proceedings of 15th International Conference on Research in Telecommunication Technologies
ISBN
978-80-227-4026-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
64-67
Publisher name
Neuveden
Place of publication
Senec
Event location
Senec
Event date
Sep 11, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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