Title :
An unique factor analysis of dynamic SPECT imaging using maximum entropy principle
Author :
Sitek, A. ; Di Bella, E.V.R. ; Gullberg, G.T.
Author_Institution :
Dept. of Radiol., Utah Univ., Salt Lake City, UT, USA
Abstract :
In this work the authors used Factor Analysis of Dynamic Structure (FADS) for the extraction of TACs from a sequence of dynamic images. The dynamic images represented the uptake of a teboroxime-Tc-99m in the heart. The maximum entropy principle was used in order to make the results of the FADS method unique. The authors found that by using the entropy they determined the time activity curves more accurately than when using FADS with only non-negativity constraints. The method was tested and conclusions were drawn based on the results from computer simulations and from the experimental canine teboroxime-Tc-99m study
Keywords :
cardiology; feature extraction; image sequences; maximum entropy methods; medical image processing; single photon emission computed tomography; Tc; computer simulations; dynamic SPECT imaging; experimental canine teboroxime-Tc-99m study; factor analysis; maximum entropy principle; medical diagnostic imaging; nonnegativity constraints; nuclear medicine; time activity curves; Computer simulation; Entropy; Heart; Image analysis; Image reconstruction; Image sequence analysis; Matrix decomposition; Performance analysis; Principal component analysis; Radiology;
Conference_Titel :
Nuclear Science Symposium, 1998. Conference Record. 1998 IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-5021-9
DOI :
10.1109/NSSMIC.1998.773882
