A variational bayesian inference method for parametric imaging of PET data
In dynamic Positron Emission Tomography (PET) studies, compartmental models provide the richest information on the tracer kinetics of the tissue. Inverting such models at the voxel level is however quite challenging due to the low signal-to-noise ratio of the time activity curves. In this study, we...
| Main Authors: | , , , , , , |
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| Format: | Journal article |
| Published: |
Elsevier
2017
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