DocumentCode
374821
Title
LMIRA: list mode iterative reconstruction algorithm for SPECT
Author
Bouwens, L. ; Van de Walle, Rik ; Gifford, H. ; King, M. ; Lemahieu, I. ; Dierckx, R.A.
Author_Institution
ELIS Dept., Ghent Univ., Belgium
Volume
2
fYear
2000
fDate
2000
Abstract
The goal of this project is to investigate a new method for using list-mode data instead of binned projection data for SPECT reconstruction. List-mode acquisition was once standardly available for planar scintigraphy, and is now becoming available for SPECT acquisition. The authors implemented maximum likelihood iterative reconstruction with list-mode data for SPECT using a projector/backprojector pair which employ an intermediate stage to separate the source and camera specific components. The algorithm uses the emission radiance distribution, calculated from the estimated source distribution, to obtain the probabilities used in the iterative reconstruction method. The model takes into account distance-dependent resolution and non-uniform attenuation. Results illustrate how the individual steps of the algorithm work. LMIRA (List-Mode Iterative Reconstruction Algorithm) is compared to the standard MLEM iterative reconstruction method which employs binned data. The authors conclude that the finer sampling provided by list-mode data, and the noise characteristics of list-mode reconstruction result in superior image quality. In further research they plan to investigate the inclusion of the intrinsic spatial resolution, the energy resolution, and the modeling of scatter in LMIRA
Keywords
image reconstruction; iterative methods; medical image processing; single photon emission computed tomography; LMIRA; SPECT; emission radiance distribution; list mode iterative reconstruction algorithm; maximum likelihood iterative reconstruction; medical diagnostic imaging; nuclear medicine; planar scintigraphy; projector/backprojector pair; Attenuation; Cameras; Image quality; Image reconstruction; Image sampling; Iterative algorithms; Iterative methods; Maximum likelihood estimation; Probability; Reconstruction algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2000 IEEE
Conference_Location
Lyon
ISSN
1082-3654
Print_ISBN
0-7803-6503-8
Type
conf
DOI
10.1109/NSSMIC.2000.950040
Filename
950040
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