Nonparametric posterior learning for emission tomography with multimodal data
Abstract
In this work we continue studies of the uncertainty quantification problem in emission tomographies such as PET or SPECT. In particular, we consider a scenario when additional multimodal data (e.g., anatomical MRI images) are available. To solve the aforementioned problem we adapt the recently proposed nonparametric posterior learning technique to the context of Poisson-type data in emission tomography. Using this approach we derive sampling...
Paper Details
Title
Nonparametric posterior learning for emission tomography with multimodal data
Published Date
Nov 23, 2021
Journal
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