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Improved resolution via 3D iterative reconstruction for PET volume imaging

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3 Author(s)
J. -S. Liow ; Minnesota Univ., Minneapolis, MN, USA ; S. C. Strother ; D. A. Rottenberg

The authors have implemented iterative filtered backprojection (IFBP) and maximum likelihood by expectation maximization (ML-EM) algorithms in 3D space and applied them to phantom and real PET data. Transaxial resolution improves ≈50% and axial resolution improves ≈15% for IFBP at 15 iterations without a sieve compared to FBP. With a sieve, the improvements are reduced to ≈6%. 3D ML-EM reconstruction shows similar resolution improvement with a much slower convergence rate compared to IFBP. The improvements in resolution from both IFBP and ML-EM are apparent in 3D FDG brain data

Published in:

Nuclear Science Symposium and Medical Imaging Conference, 1994., 1994 IEEE Conference Record  (Volume:3 )

Date of Conference:

30 Oct-5 Nov 1994