Original title: On Sparsity in Bayesian Blind Source Separation for Dynamic Medical Imaging
Authors: Tichý, Ondřej
Document type: Papers
Conference/Event: Rektorysova Soutěž, Praha (CZ), 2014-12-3
Year: 2014
Language: eng
Abstract: Dynamic medical imaging is concerned with acquisition and analysis of a sequence of images of the same region of a body during time. In nuclear medicine, each pixel of an image is the sum of particles coming from an applied radioactive tracer from the body in a specific time-interval. Hence, each observed image is a superposition of an unknown number of underlaying organ images. The aim of blind source separation is to separate the images of biologic organs and related time-activity curves from the sequence of images.
Keywords: blind source separation; dynamic medical imaging; sparsity constraint
Project no.: GA13-29225S (CEP)
Funding provider: GA ČR
Host item entry: Rektorysova Soutěž

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/2014/AS/tichy-0436843.pdf
Original record: http://hdl.handle.net/11104/0241894

Permalink: http://www.nusl.cz/ntk/nusl-180293


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers