Applying 2D ML iterative reconstruction methods with resolution recovery to 3D PET data: evaluation of rebinning effects

Author

Butti, M. ; De Bernardi, E. ; Zito, F. ; Mainardi, L. ; Cerutti, S. ; Gerundini, P. ; Baselli, G.

Author_Institution

Dept. of Biomed. Eng., Polytech. Univ. of Milan, Italy

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

1365

Lastpage

1367

Abstract

The applicability of OSEM reconstruction algorithms with space dependent resolution recovery to clinical FDG-PET studies is verified. The performance of the 2D algorithm is improved by means of a low resolution initialization and by a infra-iteration Metz filtering. Effects of different rebinning algorithms on 3D data are assessed, concluding that they do not alter the transaxial plane blurring parameters, thus permitting a straightforward application of 2D OSEM reconstruction after rebinning, with the same system matrix. Finally axial degradation was also quantified, finding that FORE is the best rebinning method to be combined with the 2D OSEM reconstruction.

Keywords

image reconstruction; image resolution; iterative methods; maximum likelihood estimation; medical image processing; optimisation; positron emission tomography; 2D maximum likelihood iterative reconstruction method; FDG-PET; PET; infra-iteration Metz filtering; ordered subset expectation maximization algorithm; rebinning effects; resolution recovery; transaxial plane blurring parameters; Degradation; Image reconstruction; Image resolution; Imaging phantoms; Iterative algorithms; Iterative methods; Lesions; Positron emission tomography; Reconstruction algorithms; Statistics; Contrast Recovery; ML Image Reconstruction; OSEM; PET; Rebinning; Resolution Recovery;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403426

Filename

1403426