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Implementation and assessment of the black body bias correction in quantitative neutron imaging
- Source :
- PLOS ONE, PLoS ONE, Vol 14, Iss 1, p e0210300 (2019), PLoS ONE
-
Abstract
- We describe in this paper the experimental procedure, the data treatment and the quantification of the black body correction: an experimental approach to compensate for scattering and systematic biases in quantitative neutron imaging based on experimental data. The correction algorithm is based on two steps; estimation of the scattering component and correction using an enhanced normalization formula. The method incorporates correction terms into the image normalization procedure, which usually only includes open beam and dark current images (open beam correction). Our aim is to show its efficiency and reproducibility: we detail the data treatment procedures and quantitatively investigate the effect of the correction. Its implementation is included within the open source CT reconstruction software MuhRec. The performance of the proposed algorithm is demonstrated using simulated and experimental CT datasets acquired at the ICON and NEUTRA beamlines at the Paul Scherrer Institut.
- Subjects :
- Databases, Factual
Computer science
Normalization (image processing)
02 engineering and technology
Neutron scattering
Polynomials
Diagnostic Radiology
Scattering
Data acquisition
0202 electrical engineering, electronic engineering, information engineering
Medicine and Health Sciences
Image Processing, Computer-Assisted
Neutron Scattering
Tomography
Numerical Analysis
Multidisciplinary
Phantoms, Imaging
Physics
Radiology and Imaging
021001 nanoscience & nanotechnology
3. Good health
Neutron Diffraction
Data Acquisition
Physical Sciences
Medicine
0210 nano-technology
Algorithm
Algorithms
Interpolation
Research Article
Normalization (statistics)
Computer and Information Sciences
Imaging Techniques
020209 energy
Science
Neuroimaging
Research and Analysis Methods
Bias
Diagnostic Medicine
Computer Simulation
Particle Physics
Nuclear Physics
Nucleons
Neutrons
Reproducibility
Neutron imaging
Experimental data
Biology and Life Sciences
Water
Computed Axial Tomography
Algebra
Lead
Tomography, X-Ray Computed
Mathematics
Copper
Software
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 14
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....f0e5f13c77fa33227cc2da4b8ceda1f9
- Full Text :
- https://doi.org/10.1371/journal.pone.0210300