Automatic Regions of Interest in Factor Analysis for Dynamic Medical Imaging

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00376737" target="_blank" >RIV/67985556:_____/12:00376737 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automatic Regions of Interest in Factor Analysis for Dynamic Medical Imaging
Original language description
Factor Analysis (FA) is a well established method for factors separation in analysis of dynamic medical imaging. However, its assumptions are valid only in limited regions of interest (ROI) in the images which must be selected manually or using heuristics. The resulting quality of separation is sensitive to the choice of these ROI. We propose a new probabilistic model for functional analysis with inherent estimation of probabilistic ROI. The model is solved using the Variational Bayes method which provides also automatic relevance determination of the estimated factors. Performance of the method is demonstrated on data from renal scintigraphy, where a significant improvement is achieved. Since there are no scintigraphy-related assumptions, the method can be used in any other imaging modality.
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 2012 IEEE International Symposium on Biomedical Imaging
ISBN
978-1-4577-1858-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
158-161
Publisher name
IEEE
Place of publication
Barcelona, Spain
Event location
Barcelona
Event date
May 2, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000312384100040

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