Maximum a posteriori estimation for SPECT using regularizationtechniques on massively-parallel computers
Butler, C.S.; Miller, M.I.
Nuclear Science Symposium and Medical Imaging Conference, 1991., Conference Record of the 1991 IEEE
Volume , Issue , 2-9 Nov 1991 Page(s):2001 - 2005 vol.3
Digital Object Identifier 10.1109/NSSMIC.1991.259267
Summary:Single photon emission computed tomography (SPECT) reconstructions
were performed using maximum a posteriori (penalized likelihood)
estimation via the expectation maximization algorithm. Due to the large
number of computations, the algorithms were performed on a massively
parallel single-instruction multiple-data computer. Computation times
for 200 iterations using Good's rotationally invariant roughness penalty
were on the order of 5 min for a 64×64 image with 96 view angles
on a 4096 processor machine, and 40 s on a 16384 processor machine.
Computer simulations were performed using parameters for the Siemens
gamma camera and clinical brain scan parameters comparing two
regularization techniques to conventional reconstructions.
Regularization by kernel sieves and penalized likelihood with Good's
rotationally invariant roughness measure are compared to filtered
backprojection. Twenty-five independent sets of data are reconstructed
for the pie and Hoffman brain phantoms
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