Title :
Spatially variant resolution modelling for iterative list-mode PET reconstruction
Author :
Bickell, Matthew G. ; Lin Zhou ; Nuyts, Johan
Author_Institution :
Dept. of Nucl. Med., KU Leuven, Leuven, Belgium
fDate :
Oct. 27 2013-Nov. 2 2013
Abstract :
A spatially variant resolution modelling technique is presented which estimates the system matrix on-the-fly. The method randomly redistributes the line-of-response endpoints according to probability density functions describing the detector response and photon acollinearity effects. A list-mode OSEM algorithm is used for the reconstruction. We demonstrate that this model agrees with measured PSFs and we present results showing an improvement in resolution recovery as compared to using a Gaussian convolution to model the resolution, although with an increase in noise. We also present results from applying this method to event-by-event rigid motion correction with list-mode reconstruction using the microPET Focus220 scanner.
Keywords :
density functional theory; image reconstruction; iterative methods; medical image processing; positron emission tomography; probability; Gaussian convolution; event-event rigid motion correction; iterative list-mode PET reconstruction; line-of-response endpoints; list-mode OSEM algorithm; list-mode reconstruction; microPET focus220 scanner; noise; photon acollinearity effects; probability density functions; spatially variant resolution modelling technique; system matrix on-the-fly; Convolution; Crystals; Image reconstruction; Phantoms; Photonics; Spatial resolution;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-0533-1
DOI :
10.1109/NSSMIC.2013.6829233
