The design and implementation of COSEN, an iterative algorithm for fully 3-D listmode data

Author

Levkovilz, R. ; Falikman, Dmitry ; Zibulevsky, Michael ; Ben-Tal, Aharon ; Nemirovski, Arkadi

Author_Institution

Minerva Opt. Center, Technion-Israel Inst. of Technol., Haifa, Israel

Volume

20

Issue

7

fYear

2001

fDate

7/1/2001 12:00:00 AM

Firstpage

633

Lastpage

642

Abstract

Presents coincidence-list-ordered set expectation-maximisation (COSEM), an algorithm for iterative image reconstruction directly from list-mode coincidence acquisition data. The COSEM algorithm is based on the ordered sets EM algorithm for binned data but has several extensions that makes it suitable for rotating two planar detector tomographs. The authors develop the COSEM algorithm and extend it to include analytic calculation of detection probability, noise reducing iterative filtering schemes, and on-the-fly attenuation correction methods. The authors present an adaptation of COSEM to the VaricamVG camera and show results from clinical and phantom studies.

Keywords

image reconstruction; iterative methods; medical image processing; positron emission tomography; 3-D reconstruction; COSEN; PET; VaricamVG camera; binned data; clinical studies; coincidence-list-ordered set expectation-maximisation; detection probability; fully 3-D listmode data; iterative algorithm; list-mode coincidence acquisition data; medical diagnostic imaging; noise reducing iterative filtering schemes; nuclear medicine; on-the-fly attenuation correction methods; phantom studies; planar detector tomographs rotation; Algorithm design and analysis; Attenuation; Cameras; Detectors; Filtering algorithms; Image reconstruction; Iterative algorithms; Iterative methods; Noise reduction; Probability; Algorithms; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Mathematics; Models, Theoretical; Phantoms, Imaging; Tomography; Tomography, Emission-Computed;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.932747

Filename

932747