Institute of Information Theory and Automation

You are here

Bibliography

Conference Paper (Czech conference)

On Sparsity in Bayesian Blind Source Separation for Dynamic Medical Imaging

Tichý Ondřej

: Rektorysova Soutěž, p. 20-21

: Rektorysova Soutěž, (Praha, CZ, 3.12.2014)

: GA13-29225S, GA ČR

: blind source separation, dynamic medical imaging, sparsity constraint

: http://library.utia.cas.cz/separaty/2014/AS/tichy-0436843.pdf

(eng): 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.

: BB

2019-01-07 08:39