Statistical approaches in quantitative positron emissiontomography
Statistics and Computing
High-Resolution Adaptive PET Imaging
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
A new statistical image reconstruction algorithm for polyenergetic X-ray CT
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Model-based image reconstruction for dual-energy X-ray CT with fast KVP switching
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Spatial resolution and noise properties of regularized motion-compensated image reconstruction
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Median based priors for non-uniform resolution compensation in tomographic image reconstruction
MS '08 Proceedings of the 19th IASTED International Conference on Modelling and Simulation
Non-uniform resolution recovery using median priors in tomographic image reconstruction methods
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Joint estimation of image and fieldmap in parallel MRI using single-shot acquisitions
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
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This paper examines the spatial resolution properties of penalized-likelihood image reconstruction methods by analyzing the local impulse response. The analysis shows that standard regularization penalties induce space-variant local impulse response functions, even for space-invariant tomographic systems. Paradoxically, for emission image reconstruction, the local resolution is generally poorest in high-count regions. We show that the linearized local impulse response induced by quadratic roughness penalties depends on the object only through its projections. This analysis leads naturally to a modified regularization penalty that yields reconstructed images with nearly uniform resolution. The modified penalty also provides a very practical method for choosing the regularization parameter to obtain a specified resolution in images reconstructed by penalized-likelihood methods