A fast experimental beam hardening correction method for accurate bone mineral measurements in 3D μCT imaging system - IN2P3 - Institut national de physique nucléaire et de physique des particules
Article Dans Une Revue Journal of Computer-Assisted Microscopy Année : 2015

A fast experimental beam hardening correction method for accurate bone mineral measurements in 3D μCT imaging system

Résumé

Bone mineral density plays an important role in the determination of bone strength and fracture risks. Consequently, it is very important to obtain accurate bone mineral density measurements. The microcomputerized tomography system provides 3D information about the architectural properties of bone. Quantitative analysis accuracy is decreased by the presence of artefacts in the reconstructed images, mainly due to beam hardening artefacts (such as cupping artefacts). In this paper, we introduced a new beam hardening correction method based on a postreconstruction technique performed with the use of off-line water and bone linearization curves experimentally calculated aiming to take into account the nonhomogeneity in the scanned animal. In order to evaluate the mass correction rate, calibration line has been carried out to convert the reconstructed linear attenuation coefficient into bone masses. The presented correction method was then applied on a multimaterial cylindrical phantom and on mouse skeleton images. Mass correction rate up to 18% between uncorrected and corrected images were obtained as well as a remarkable improvement of a calculated mouse femur mass has been noticed. Results were also compared to those obtained when using the simple water linearization technique which does not take into account the nonhomogeneity in the object.
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Dates et versions

in2p3-01161059 , version 1 (08-06-2015)

Identifiants

Citer

Khodor Koubar, Virgile Bekaert, David Brasse, Patrice Laquerriere. A fast experimental beam hardening correction method for accurate bone mineral measurements in 3D μCT imaging system. Journal of Computer-Assisted Microscopy, 2015, 258 (3), pp.241-252. ⟨10.1111/jmi.12238⟩. ⟨in2p3-01161059⟩
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