Title :
Simultaneous reconstruction of the activity image and registration of the CT image in TOF-PET
Author :
Rezaei, A. ; Nuyts, Johan
Author_Institution :
Nucl. Med., K.U. Leuven, Leuven, Belgium
fDate :
Oct. 27 2013-Nov. 2 2013
Abstract :
Previously, maximum-likelihood methods have been proposed to jointly estimate the activity image and the attenuation image (or the attenuation sinogram) from TOF-PET data. In this contribution, we propose a method that addresses the same problem for TOF-PET/CT by combining reconstruction and registration. The method, called MLRR, iteratively reconstructs the activity image while registering the available CT-based attenuation image, so that the pair of activity and attenuation images maximize the likelihood of the TOF emission sinogram. The algorithm is evaluated on 2D and 3D simulations.
Keywords :
image reconstruction; image registration; iterative methods; maximum likelihood estimation; medical image processing; positron emission tomography; 2D simulations; 3D simulations; CT image registration; CT-based attenuation image; MLRR; TOF emission sinogram; TOF-PET-CT; activity image reconstruction; iterative reconstruction; maximum likelihood reconstruction-of-activity-and-registration-of-attenuation; Attenuation; Computed tomography; Estimation; Image reconstruction; Phantoms; Positron emission tomography; Three-dimensional displays;
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.2013.6829297
