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

fYear

2013

fDate

Oct. 27 2013-Nov. 2 2013

Firstpage

1

Lastpage

3

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE

Conference_Location

Seoul

Print_ISBN

978-1-4799-0533-1

Type

conf

DOI

10.1109/NSSMIC.2013.6829297

Filename

6829297