ISIS Neutron and Muon Source Data Journal

Neutron TOF imaging phantom data to quantify hyperspectral reconstruction algorithms

Abstract: New energy-sensitive imaging techniques promise a 3D spectroscopic window deep into material microstructure, which is essential to understand in order to design new materials for applications in medicine, energy, etc. However, massive data sets, poor signal levels as well as lack of dedicated multi-channel reconstruction software pose critical barriers to the efficient exploitation of these technologies. Our research is developing a new software toolkit of novel multi-channel reconstruction methods for hyperspectral data with 100s or 1000s of channels, including neutron time-of-flight and energy-resolved X-ray imaging data.The aim of this proposal is to produce high- and low-quality test data for a carefully designed multi-material contrast phantom to allow characterisation and comparison of reconstruction quality for newly developed algorithms under varying imaging conditions.

Principal Investigator: Dr Jakob Jorgensen
Experimenter: Mrs Evelina Ametova
Experimenter: Dr Edoardo Pasca
Experimenter: Dr Gemma Fardell
Experimenter: Mr Alexander Liptak
Experimenter: Dr Daniil Kazantsev
Experimenter: Professor William Lionheart
Experimenter: Dr Martin Turner
Experimenter: Dr Genoveva Burca
Experimenter: Dr VAGGELIS PAPOUTSELLIS

DOI: 10.5286/ISIS.E.RB1820541

ISIS Experiment Number: RB1820541

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
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Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Jakob Jorgensen et al; (2019): Neutron TOF imaging phantom data to quantify hyperspectral reconstruction algorithms, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1820541