Nonparametric posterior learning for emission tomography with multimodal data

Published: Nov 23, 2021
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
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