DocumentCode :
2198282
Title :
Fast PET EM reconstruction from linograms
Author :
Hamill, James ; Michel, Christian ; Kinahan, Paul
Author_Institution :
CPS Innovations, Knoxville, TN, USA
Volume :
3
fYear :
2002
fDate :
10-16 Nov. 2002
Firstpage :
1681
Abstract :
The approximate discrete Radon transform (ADRT) is a fast forward projection technique for generating linograms. It uses a succession of nearest-neighbor interpolations in a butterfly algorithm analogous to the one used in fast Fourier transforms to gain a (log N)/N speed advantage. We have used matched forward and backward ADRT projectors to perform ML-EM reconstructions for PET (EM-ADRT). Accuracy is tested in three ways. First, linograms of gaussian blobs were generated and reconstructed with 20 iterations of EM-ADRT. Reconstructed blobs in the EM-ADRT images were no more than 0.03 pixels broader than the parent functions, and were mispositioned by no more than a few hundredths of a pixel. The total counts in regions of interest were within 2% of the correct values. Second, Monte-Carlo events for hot and cold spheres in a warm background were separately histogrammed into sinograms and linograms. The sinograms were reconstructed by OSEM, the linograms by EM-ADRT. The two iteratively reconstructed images were of similar quality. All structures in the phantoms were resolved and gray levels were recovered quantitatively. Third, clinical images reconstructed with EM-ADRT have a qualitative appearance similar to OSEM images.
Keywords :
Monte Carlo methods; Radon transforms; image reconstruction; positron emission tomography; EM reconstruction; PET; approximate discrete Radon transform; gray levels; images; linograms; phantoms; sinograms; Acceleration; Discrete transforms; Fast Fourier transforms; Flexible printed circuits; Image reconstruction; Interpolation; Iterative algorithms; Pixel; Positron emission tomography; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2002 IEEE
Print_ISBN :
0-7803-7636-6
Type :
conf
DOI :
10.1109/NSSMIC.2002.1239647
Filename :
1239647
Link To Document :
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