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Abstract: We examine the spatial resolution and variance properties of PET images reconstructed using maximum a posteriori (MAP) or penalized-likelihood methods. Resolution is characterized by the contrast recovery coefficient (CRC) of the local impulse response. Simplified approximate expressions are derived for the local impulse response CRCs and variances for each voxel. Using these results we propose a practical scheme for selecting spatially variant smoothing parameters to optimize lesion... (Update)
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.... for the nonlinear case is di#cult by virtue of the large (N N) matrix inverse involved in (24) Computational shortcuts may be applicable [16] here however, and we leave this for future work. The expressions in this paper involve transmission noise only. The variance expressions...
...a shift variant regularization method that optimizes the local contrast to noise ratio in an attempt to improve lesion detectability. [10,11] However, for high resolution PET images the geometric distortions due to conventional regularizations may be undesirable for tasks...
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BibTeX entry: (Update)
J. Qi and R. M. Leahy, "A theoretical study of the contrast recovery and variance of map reconstructions with applications to the selection of smoothing parameters," IEEE Transactions on Medical Imaging, 1998, submitted. http://citeseer.ist.psu.edu/qi99theoretical.html More
@misc{ qi98theoretical,
author = "J. Qi and R. Leahy",
title = "A theoretical study of the contrast recovery and variance of map reconstructions
with applications to the selection of smoothing parameters",
text = "J. Qi and R. M. Leahy, A theoretical study of the contrast recovery and
variance of map reconstructions with applications to the selection of smoothing
parameters, IEEE Transactions on Medical Imaging, 1998, submitted.",
year = "1998",
url = "citeseer.ist.psu.edu/qi99theoretical.html" }
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