Published on 07 December 2022

Data accompanying article "A Bayesian Approach to CT Reconstruction with Uncertain Geometry"

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Pedersen, Frederik Hagsholm;Andersen, Martin Skovgaard;Jørgensen, Jakob Sauer

Description

This record contains three datasets for reproducing the results of the paper "A Bayesian Approach to CT Reconstruction with Uncertain Geometry" by Frederik H. Pedersen, Jakob S. Jørgensen and Martin S. Andersen currently available as a preprint at https://arxiv.org/abs/2203.01045 The datafiles are provided as mat-files saved from MATLAB. Using these files, and the accompanying codes at github the results and figures of the paper can be reproduced. Each of the files correspond to one of the three cases presented in the paper.

Citations (0)

Mentions (1)

Metrics

Dataset Index

1.5

FAIR Score

48%

Citations

0

Mentions

1

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Statistics and Probability

Field

Mathematics

Domain

Physical Sciences

Confidence Score

43%

Source

Scholar Data Model

Keywords

computed tomography, uncertainty quantification, CT, misalignment

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00