TY - JOUR
T1 - One-pass list-mode EM algorithm for high-resolution 3-D PET image reconstruction into large arrays
AU - Reader, Andrew J.
AU - Ally, Stijn
AU - Bakatselos, Filippos
AU - Manavaki, Roido
AU - Walledge, Richard J.
AU - Jeavons, Alan P.
AU - Julyan, Peter J.
AU - Zhao, Sha
AU - Hastings, David L.
AU - Zweit, Jamal
PY - 2002/6
Y1 - 2002/6
N2 - High-resolution three-dimensional (3-D) positron emission tomography (PET) scanners with high count rate performance, such as the quad-high density avalanche chamber (HIDAC), place new demands on image reconstruction algorithms due to the large quantities of high-precision list-mode data which are produced. Therefore, a reconstruction algorithm is required which can, in a practical time frame, reconstruct into very large image arrays (submillimeter voxels, which range over a large field of view) whilst preferably retaining the precision of the data. This work presents an algorithm which meets these demands: one-pass list-mode expectation maximization (OPL-EM) algorithm. The algorithm operates directly on list-mode data, passes through the data once only, accounts for finite resolution effects in the system model, and can also include regularization. The algorithm performs multiple image updates during its single pass through the list-mode data, corresponding to the number of subsets that the data have been split into. The algorithm has been assessed using list-mode data from a quad-HIDAC and is compared to the analytic reconstruction method 3-D reprojection (RP) with 3-D filtered backprojection.
AB - High-resolution three-dimensional (3-D) positron emission tomography (PET) scanners with high count rate performance, such as the quad-high density avalanche chamber (HIDAC), place new demands on image reconstruction algorithms due to the large quantities of high-precision list-mode data which are produced. Therefore, a reconstruction algorithm is required which can, in a practical time frame, reconstruct into very large image arrays (submillimeter voxels, which range over a large field of view) whilst preferably retaining the precision of the data. This work presents an algorithm which meets these demands: one-pass list-mode expectation maximization (OPL-EM) algorithm. The algorithm operates directly on list-mode data, passes through the data once only, accounts for finite resolution effects in the system model, and can also include regularization. The algorithm performs multiple image updates during its single pass through the list-mode data, corresponding to the number of subsets that the data have been split into. The algorithm has been assessed using list-mode data from a quad-HIDAC and is compared to the analytic reconstruction method 3-D reprojection (RP) with 3-D filtered backprojection.
KW - Iterative image reconstruction
KW - List mode
KW - Positron emission tomography (PET)
U2 - 10.1109/TNS.2002.1039550
DO - 10.1109/TNS.2002.1039550
M3 - Article
SN - 1558-1578
VL - 49
SP - 693
EP - 699
JO - Ieee Transactions on Nuclear Science
JF - Ieee Transactions on Nuclear Science
IS - 3
ER -