Variational Bayes method for MRI image sequences

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F19%3A00335957" target="_blank" >RIV/68407700:21340/19:00335957 - isvavai.cz</a>
Result on the web
<a href="http://gams.fj.cvut.cz/spms2019" target="_blank" >http://gams.fj.cvut.cz/spms2019</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Variational Bayes method for MRI image sequences
Original language description
Variational Bayes method has been previously used for analysis of scintigraphic image sequences. The aim of the analysis is to extract time-activity curves of tracer in different regions of scanned body part. This problem may be viewed as a nonnegative matrix factorization, the sequence can be decomposed into a matrix of factor curves and a matrix of factor images. Modelling factor curves by convolution of tissue speciffc kernel and input function is inspired by distribution of tracer in tissue. Proposed convolutional model was further improved by incorporating an assumption of smoothnes on convolution kernels in order to meet psysiological expectations. The inference is tested on a sequence of MRI images.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of SPMS 2019 - Stochastic and Physical Monitoring Systems
ISBN
978-80-01-06659-1
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
1-10
Publisher name
Česká technika - nakladatelství ČVUT
Place of publication
Praha
Event location
Dobřichovice
Event date
Jun 20, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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