Segmentation of MRI data to extract the blood vessels based on fuzzy thresholding
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A10238687" target="_blank" >RIV/61989100:27240/15:10238687 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-16211-9_5" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-16211-9_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16211-9_5" target="_blank" >10.1007/978-3-319-16211-9_5</a>
Alternative languages
Result language
angličtina
Original language name
Segmentation of MRI data to extract the blood vessels based on fuzzy thresholding
Original language description
The article discusses the design of appropriate methodology of segmentation and visualization of MRI data to extract the blood vessels. The main objective of the proposed algorithm is effective separation individual vessels and adjecent structures. In clinical practice, it is necessary to assess the progress of the blood vessels in order to assess the condition of the vascular system. For physician who performs diagnosis is much more rewarding to perform analysis of an image that contains only vascular elements. The proposed method of image segmentation can effectively separate the individual blood vessels from surrounding tissue structures. The output of this analysis is the color coding of the input image data to distinguish contrasting behavior of individual vessels that are at the forefront of our concerns, the structures that we need in the picture.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Studies in Computational Intelligence. Volume 598
ISBN
978-3-319-16211-9
ISSN
1860-949X
e-ISSN
neuvedeno
Number of pages
9
Pages from-to
43-52
Publisher name
Springer
Place of publication
Heidelberg
Event location
Bali
Event date
Mar 23, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000378038200005