Title :
Derivation and implementation of ordered-subsets algorithms for list-mode PET data
Author :
Nakayama, Takayuki ; Kudo, Hiroyuki
Author_Institution :
Graduate Sch. of Syst. & Information Eng., Tsukuba Univ., Ibaraki, Japan
Abstract :
In this paper, we present a new derivation of a wide class of list-mode ordered-subsets (OS) algorithms for image reconstruction in PET. The derivation starts from the list-mode likelihood and follows the similar line to the block-gradient method for minimizing a general cost function. This derivation clarifies that there exist list-mode OS algorithms which behave significantly better than current standard list-mode OS-EM.
Keywords :
gradient methods; image reconstruction; medical image processing; positron emission tomography; block-gradient method; general cost function; image reconstruction; list-mode PET data; list-mode likelihood; ordered-subsets algorithms; Cost function; Detectors; Event detection; Histograms; Image reconstruction; Iterative algorithms; Limit-cycles; Performance evaluation; Positron emission tomography; Systems engineering and theory;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2005 IEEE
Print_ISBN :
0-7803-9221-3
DOI :
10.1109/NSSMIC.2005.1596714
