NDLI: Characterization of USC-MAP image reconstruction on MicroPET-R4/sup /spl reg//

Content Provider	IEEE Xplore Digital Library
Author	Ruangma, A. Laforest, R. Bai, B. Leahy, R.M.
Copyright Year	2004
Description	Author affiliation: Mallinckrodt Inst. of Radiol., Washington Univ., St. Louis, MO, USA (Ruangma, A.; Laforest, R.)
Abstract	We present a quantitative evaluation of a Maximum a Posteriori image reconstruction (USC-MAP) implemented on the Concorde microPET-R4 camera. This iterative reconstruction algorithm uses a Bayesian reconstruction technique for the reconstruction of PET images which includes an accurate modeling of the camera response, the Poisson distribution of coincidence data, and the physics of positron decay. The spatial resolution measurements were made by using a small cylindrical chamber containing a thin plastic tube filled with concentrated /sup 18/F-FDG, scanned at different radial positions in the field of view. A specially designed miniature rat heart phantom and a cylindrical chamber containing four different size spheres were used to measure recovery coefficients mimicking cardiac and small lesion quantitative applications. The images were reconstructed with FORE+2D-FBP, 2D-OSEM, 3DRP, and USC-MAP. The experiments show that substantial gain in spatial resolution is achieved using this novel image reconstruction algorithm. In particular, we showed that the spatial resolution degradation at large radial offsets due to the depth of interaction is in large part corrected with USC-MAP, a consequence of the accurate system detection modeling. The gain in resolution results in recovery of activity concentration in hot spheres is achieved with USC-MAP as compared to FORE-2D-FBP. The recovery coefficient increases by 9% in spheres with diameter of 1.24 cm and 62% in spheres with diameter of 0.39 cm in the experiment with /sup 18/F-FDG. More significant improvement is observed in the case of long positron range isotope such as /sup 76/Br.
Starting Page	3449
Ending Page	3453
File Size	815516
Page Count	5
File Format	PDF
ISBN	0780387007
ISSN	10823654
e-ISBN	0780387015
DOI	10.1109/NSSMIC.2004.1466629
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Spatial resolution Cameras Reconstruction algorithms Bayesian methods Positron emission tomography Physics Position measurement Plastics Heart
Content Type	Text
Resource Type	Article

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