Volume 125, Number 3, February 2019
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||07 March 2019|
Signal-to-thickness calibration and pixel-wise interpolation for beam-hardening artefact reduction in microCT
1 Chair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich - 85748 Garching, Germany
2 MITOS GmbH - 85748 Garching, Germany
3 Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich 81675 München, Germany
Received: 15 November 2018
Accepted: 30 January 2019
X-ray computed tomography (CT) reconstruction suffers from beam-hardening artefacts caused by the polychromaticity of virtually all lab-based X-ray sources. A method to correct for beam-hardening is a direct, pixel-wise signal-to-thickness calibration (STC). We compare reconstructions of conventionally flat-field corrected as well as STC preprocessed measurements of various samples performed on a commercial microCT device based on a flat-panel detector. We show that a good estimate between the transmission signal and the respective material thickness can be given by multiple exponential functions. We further compare the exponential interpolation approach to a hyperbolic model, which reduces the number of necessary calibration measurements significantly. Our method shows that typical beam-hardening artefacts like cupping and filling can be almost completely suppressed and a significant contrast increase is gained. The method can be applied with little additional calibration and computation effort and allows shorter acquisition times since beam filtration can be reduced or omitted.
PACS: 87.59.-e – X-ray imaging / 81.70.Tx – Computed tomography / 07.85.Fv – X- and γ-ray sources, mirrors, gratings, and detectors
© EPLA, 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.