Title :
An MLEM method for joint tissue activity distribution and photon attenuation map reconstruction in PET
Author :
Mihlin, Alexander ; Levin, Craig S.
Author_Institution :
Depts. of Electr. Eng. & Radiol., Stanford Univ., Stanford, CA, USA
fDate :
Oct. 27 2013-Nov. 2 2013
Abstract :
A Maximum Likelihood Expectation Maximization (MLEM) method is proposed for joint tissue activity distribution and photon attenuation map reconstruction from Positron Emission Tomography (PET) data. It is based on a new set of latent random variables, similar to the ones used by Lange and Carson for CT [JCAT, 1984]. It results in a separable likelihood function, which simplifies maximization. The proposed method is consistent with the methods of Krol et al. for SPECT [TMI, 2001] and Shepp and Vardi for PET [TMI, 1982].
Keywords :
biological tissues; expectation-maximisation algorithm; image reconstruction; medical image processing; positron emission tomography; random processes; MLEM method; PET; SPECT; joint tissue activity distribution; latent random variables; maximum likelihood expectation maximization method; photon attenuation map reconstruction; positron emission tomography data; separable likelihood function; Attenuation; Equations; Image reconstruction; Mathematical model; Photonics; Positron emission tomography; Random variables;
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.2013.6829033
