Expert-guided CT beam hardening correction for heterogeneous natural materials
نویسندگان
چکیده
We present a new method for correcting beam hardening artifacts in CT data. Software correction typically consists of a polynomial transform of the raw data, but determining optimal coefficients is not straightforward, especially if the material is not well known or characterized, as is the usual case when imaging geological materials. Our method lets an expert user guide an iterative optimization algorithm in finding a generalized spline-interpolated beam-hardening transform, which in turn can define a polynomial of arbitrarily high degree. This generality accesses a richer set of transforms that may better accommodate the effects of multiple materials in heterogeneous samples. Richard KETCHAM, Romy HANNA
منابع مشابه
Beam Hardening Correction in X-Ray Computed Tomography: A Comparison of Two Iterative Model-Based Reconstruction Methods
While the expenses for computational power decrease, iterative reconstruction methods for x-ray computed tomography (CT) that allow the use of improved model assumptions, become more attractive. In applications for non-destructive testing one of the most common degradations of image quality with standard x-ray CT reconstruction methods is beam hardening. Techniques for beam hardening correction...
متن کاملAn iterative approach to the beam hardening correction in cone beam CT.
In computed tomography (CT), the beam hardening effect has been known to be one of the major sources of deterministic error that leads to inaccuracy and artifact in the reconstructed images. Because of the polychromatic nature of the x-ray source used in CT and the energy-dependent attenuation of most materials, Beer's law no longer holds. As a result, errors are present in the acquired line in...
متن کاملSpectrum Binning Approach for Multi-Material Beam Hardening Correction (MMBHC) in CT
In CT, the nonlinear attenuation characteristics of polychromatic X-rays cause beam hardening artifacts in the reconstructed images. When datasets contain multiple materials in the field of scan, the performance of state-of-the-art beam hardening correction approaches is limited by high computational load and reduced correction efficiency. An image based multi-material beam hardening correction...
متن کاملCT sinogram-consistency learning for metal-induced beam hardening correction
Purpose: This paper proposes a sinogram-consistency learning method to deal with beamhardening related artifacts in polychromatic computerized tomography (CT). The presence of highly attenuating materials in the scan field causes an inconsistent sinogram, that does not match the range space of the Radon transform. When the mismatched data are entered into the range space during CT reconstructio...
متن کاملMulti-Material Beam Hardening Correction(MMBHC) in Computed Tomography
In computed tomography (CT), the nonlinear attenuation characteristics of polychromatic X-rays cause beam hardening artifacts in the reconstructed images. State-of-theart methods to correct the beam hardening effect are mostly single material precorrections (e.g. water-precorrection), which are far less efficient when more than one material is present in the field of measurement. The use of tho...
متن کامل