Published October 3, 2018 | Version 1.0
Dataset Open

Datasets for "BB correction" algorithm evaluation and analysis

  • 1. Paul Scherrer Institut
  • 1. Paul Scherrer Institut

Description

The datasets contain the raw and processed data relevant to the "BB (black body) correction" method, an algorithm to correct for scattering and systematic bias in quantitative neutron imaging from experimental measurements. Five CT datasets imaging various hydrogenous and non hydrogenous  materials are uploaded. The raw data folders for each dataset contains the sample projections over the tomographic range as well as the image used for referencing: the dark current, the open beam files and the additional "BB images", obtained with an interposed grid of neutron absorbers (BBs) from which scattering and bias components are estimated. The processed folders contain the CT reconstruction with and without the BB correction. All processing was done with the MuhRec open source software (https://zenodo.org/record/1311698#.W30exxixVtg)

Notes

This project receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654000

Files

datasets_BBcorrection.zip

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