Iterative reconstruction algorithm are the standard reconstruction for clinical imaging. For quantification purposes in kinetic modelling sometimes analytical reconstruction are preferred for their linearity and the absence of bias at the low statistics typical of dynamic studies. Time-Of-Flight (TOF) technology was suggested to be able to improve the efficacy of random coincidences correction, to reduce noise and should be able to reduce bias. Point Spread Function modelling (PSF) can also improve quantification accuracy recovery resolution degrading effects.
Presotto, L., DE BERNARDI, E., Gianolli, L., Gilardi, M., Bettinardi, V. (2016). Quantitative performance of iterative algorithms, with and without PSF and TOF, in the conditions of a dynamic cardiac 13N-ammonia study. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 (pp.1-3). Institute of Electrical and Electronics Engineers Inc. [10.1109/NSSMIC.2014.7430837].
Quantitative performance of iterative algorithms, with and without PSF and TOF, in the conditions of a dynamic cardiac 13N-ammonia study
PRESOTTO, LUCAPrimo
;DE BERNARDI, ELISABETTASecondo
;Gilardi, M;
2016
Abstract
Iterative reconstruction algorithm are the standard reconstruction for clinical imaging. For quantification purposes in kinetic modelling sometimes analytical reconstruction are preferred for their linearity and the absence of bias at the low statistics typical of dynamic studies. Time-Of-Flight (TOF) technology was suggested to be able to improve the efficacy of random coincidences correction, to reduce noise and should be able to reduce bias. Point Spread Function modelling (PSF) can also improve quantification accuracy recovery resolution degrading effects.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
