Automatic Beam Hardening Correction For CT Reconstruction
نویسندگان
چکیده
In computed tomography (CT) the quality of reconstructed images depends on several reasons: the quality of the set-up calibration; precision of the mathematical model, used in the reconstruction procedure; the reconstruction technique used; quality of the numerical implementation of the reconstruction algorithm. Most of fast reconstruction algorithms use the X-ray monochromaticity assumption. If we apply the algorithms to reconstruct the images from the projections measured in polychromatic mode then the reconstructed images will be corrupted by so-called cupping artifacts due to beam hardening. There are several approaches to take into account polichromaticity. One of them is to correct the sinograms before reconstruction. This paper presents the usage of Radon invariant to estimate the gamma parameter in the procedure of the sinogram correction for beam hardening (BH).
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 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 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 کاملIterative Reconstruction for Quantitative Tissue Decomposition in Dual-Energy CT
Quantitative tissue classification using dual-energy CT has the potential to improve accuracy in radiation therapy dose planning as it provides more information about material composition of scanned objects than the currently used methods based on single-energy CT. One problem that hinders successful application of both singleand dualenergy CT is the presence of beam hardening and scatter artif...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017