Original title: Model Consideration for Blind Source Separation of Medical Image Sequences
Authors: Tichý, Ondřej
Document type: Papers
Conference/Event: Doktorandské dny 2012, Praha (CZ), 2012-11-16 / 2012-11-23
Year: 2012
Language: eng
Abstract: The problem of functional analysis of medical image sequences is studied. The obtained images are assumed to be a superposition of images of underlying biological organs. This is commonly modeled as a Factor Analysis (FA) model. However, this model alone allows for biologically impossible solutions. Therefore, we seek additional biologically motivated assumptions that can be incorporated into the model to yield better solutions. In this paper, we review additional assumptions such as convolution of time activity, regions of interest selection, and noise analysis. All these assumptions can be incorporated into the FA model and their parameters estimated by the Variation Bayes estimation procedure. We compare these assumptions and discuss their influence on the resulting decomposition from diagnostic point of view. The algorithms are tested and demonstrated on real data from renal scintigraphy; however, the methodology can be used in any other imaging modality.
Keywords: Blind Source Separation; Convolution; Factor Analysis; Image Sequence; Regions of Interest
Host item entry: Doktorandské dny 2012, ISBN 978-80-01-05138-2

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2012/AS/tichy-model consideration for blind source separation of medical image sequences.pdf
Original record: http://hdl.handle.net/11104/0213299

Permalink: http://www.nusl.cz/ntk/nusl-135075


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Research > Institutes ASCR > Institute of Information Theory and Automation
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