Published December 7, 2022 | Version v1
Dataset Open

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

  • 1. Technical University of Denmark

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.

Files

Files (615.3 MB)

Name Size Download all
md5:bb06a5cd606375a0b9d6e652fd5a5da9
218.4 MB Download
md5:c106ffd422acbc322da36dd001394e6d
200.3 MB Download
md5:178869e2ca48ddd2c15c6869eabcf2bd
196.6 MB Download