NDLI: Comparison of analytical and algebraic 2D tomographic reconstruction approaches for irregularly sampled microCT data

Content Provider	IEEE Xplore Digital Library
Author	Valton, S. Berard, P. Riendeau, J. Thibaudeau, C. Lecomte, R. Sappey-Marinier, D. Peyrin, F.
Copyright Year	2007
Description	Author affiliation: Univ. Claude Bernard-Lyon 1, Villeurbanne (Valton, S.)
Abstract	APD-based detectors with individual channel readout were developed for multi-crystal applications and have been implemented for the detection of annihilation radiation in the $LabPET^{TM}$ micro-scanner. The use of these APD-based detectors in X-ray imaging is currently being assessed with a microCT demonstrator in order to later combine PET and CT in one apparatus. This paper is focused on the tomographic reconstruction of the X-ray transmission data acquired with this demonstrator. Two aspects of the acquisition geometry need to be carefully considered: the radius of the detector arc and the irregular sampling of the detector bins. A specific shift- variant filtered backprojection formula derived to account for the detector curvature is applied to equiangularly resampled projection data while the simultaneous algebraic reconstruction technique is applied to both resampled and original projections. Images of physical phantoms reconstructed from measured projections using the different methods are presented and compared.
Starting Page	2916
Ending Page	2919
File Size	346131
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4352939
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Radiation detectors X-ray imaging X-ray detection X-ray detectors Positron emission tomography Computed tomography Geometry Image sampling Imaging phantoms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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