Published December 7, 2022
| Version v1
Dataset
Open
Data accompanying article "A Bayesian Approach to CT Reconstruction with Uncertain Geometry"
Authors/Creators
- 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 |
|---|---|---|
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md5:bb06a5cd606375a0b9d6e652fd5a5da9
|
218.4 MB | Download |
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md5:c106ffd422acbc322da36dd001394e6d
|
200.3 MB | Download |
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md5:178869e2ca48ddd2c15c6869eabcf2bd
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196.6 MB | Download |