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

fYear

2013

fDate

Oct. 27 2013-Nov. 2 2013

Firstpage

1

Lastpage

3

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;

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.2013.6829033

Filename

6829033