Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU99420" target="_blank" >RIV/00216305:26220/12:PU99420 - 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
Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images
Original language description
The introduction for MRI revolutionized bone marrow imaging because this technique provides images with excellent soft tissue contrast. To determine the properties of bone and bone marrow and their pathology, we have to know the properties of surroundingtissues. It is also important for the segmentation of individual tissues. The size and shape of tissues can often help to diagnose various pathologies. In this paper, we focused on multiparametric data collection of animals' tissues. As the source images was these weighted images chosen: PD, T1, T2, and SWI tissue parameters in terms of a multivariate. As a measured sample chicken wing was used. Several parameters (maximal value, minimal value, mean value and standard deviation) were evaluated in thissample in displayed tissues: skin, fat, muscle, bone and bone marrow. The obtained data could be used with advantage for multi-parametric analysis and for image segmentation.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PIERS 2012 in Moscow Proceedings
ISBN
978-1-934142-22-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
369-372
Publisher name
Neuveden
Place of publication
Moscow
Event location
Moscow
Event date
Aug 19, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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