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A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic positron emission tomography
PURPOSE: Estimation of parametric maps is challenging for kinetic models in dynamic positron emission tomography. Since voxel kinetics tend to be spatially contiguous, the authors consider groups of homogeneous voxels together. The authors propose a novel algorithm to identify the groups and estimat...
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| I publikationen: | Med Phys |
|---|---|
| Huvudupphovsmän: | , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
American Association of Physicists in Medicine
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5025019/ https://ncbi.nlm.nih.gov/pubmed/26936707 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4941010 |
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