2009
DOI: 10.1016/j.nima.2009.03.156
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Radiogram enhancement and linearization using the beam hardening correction method

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Cited by 38 publications
(29 citation statements)
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“…Linearization of the attenuation range (beam hardening correction) was applied to all the data to reduce the noise and improve the contrast in individual projections. 11 Due to high porosity of the samples and the small thickness of the structural elements (approximately 30 μm), the cone-beam reconstruction algorithm 12 was used to eliminate the distortion of the reconstructed data caused by the divergent nature of the X-ray beam.…”
Section: Radiographical Imagingmentioning
confidence: 99%
“…Linearization of the attenuation range (beam hardening correction) was applied to all the data to reduce the noise and improve the contrast in individual projections. 11 Due to high porosity of the samples and the small thickness of the structural elements (approximately 30 μm), the cone-beam reconstruction algorithm 12 was used to eliminate the distortion of the reconstructed data caused by the divergent nature of the X-ray beam.…”
Section: Radiographical Imagingmentioning
confidence: 99%
“…10 Linearization of the attenuation range (a beamhardening correction) was applied to reduce the noise and improve the contrast of individual projections. 11 Due to a high porosity of the samples and a small thickness of the trabeculae (approximately 200 μm), the cone-beam reconstruction algorithm 12 was used to eliminate the distortion of the reconstructed data caused by the divergent nature of the X-ray beam.…”
Section: Microtomography Measurementmentioning
confidence: 99%
“…The application of the Pixelman software furthermore enables also direct application of previously developed tools, e.g. for beam hardening effect correction [15] and tomographic reconstruction.…”
Section: Redesigned Systemmentioning
confidence: 99%