Computed tomography (CT) has been used to obtain 3D data from an object or patient. However, most of CT uses polychromatic energy and that results in beam hardening artifact. Therefore, many methods for correcting beam hardening were proposed. Linearization method and post reconstruction method are main category of beam hardening correction method. Especially empirical approaches were commonly used at linearization method; however, empirical methods do not guarantee the linearity of projection data because it uses reconstructed image to decide linearity. Therefore, corrected images are not monochromatic CT images because we could not specify the energy. Proposed method use linearization method as a basic concept. However, we had considered about the relationship between path length and projection data and then found a way to specify the energy of corrected images because proposed method linearizes the projection data fundamentally. Moreover, calculation time for making corrected sinogram was very short. Therefore, this method can be used practically.
KEYWORDS: Computed tomography, Digital filtering, Linear filtering, Data acquisition, Image filtering, Medical imaging, Anisotropic filtering, Data centers, Electronics engineering
Computed tomography (CT) has been used for medical purposes. However there are many artifacts at CT images and
that makes distorted image. Ring artifact is caused by non-uniform sensitivity of detectors and makes ring shape artifact.
Line-ratio method was proposed to solve the problem however there are some problem at specific case. Therefore we
propose advanced method to correct ring artifact using transfer function. As a result, ring artifacts can be removed at
more global cases. Simulation data shows the proposed method outperforms the conventional line-ratio method.
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