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 detectability through maximization of the local CRC-to-noise ratio in the reconstructed image.
Original language | English (US) |
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Title of host publication | IEEE Nuclear Science Symposium and Medical Imaging Conference |
Place of Publication | Piscataway, NJ, United States |
Publisher | IEEE |
Pages | 2078-2085 |
Number of pages | 8 |
Volume | 3 |
ISBN (Print) | 0780350227 |
State | Published - 1999 |
Externally published | Yes |
Event | Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can Duration: Nov 8 1998 → Nov 14 1998 |
Other
Other | Proceedings of the 1998 IEEE Nuclear Science Symposium Conference Record |
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City | Toronto, Que, Can |
Period | 11/8/98 → 11/14/98 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Industrial and Manufacturing Engineering