CT Image Reconstruction Algorithm to Reduce Metal Artifact

Koseki, Michihiko; Hashimoto, Shin; Sato, Shusei; Kimura, Hitoshi; Inou, Norio

doi:10.1299/jmmp.2.374

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…This type of inverse problem is applied in non-destructive testing of materials in the field of engineering [7], in biomedicine including the diagnosis of biological tissues and physiologic measurements, in the pharmaceutical industry for on-line measurements of active substance concentration in pharmaceutical formulations, in the food industry to test the quality of the products [1], in remote sensing of marine parameters as chlorophyll concentrations, backscattering coefficient and aerosol parameters such as optical depth [3,11,12] or atmospheric pollution research [4], among many other fields of interest.…”

Section: An Explicit Formulation Inverse Transport Problem -Part IImentioning

confidence: 99%

An explicit formulation for the inverse transport problem using only external detectors: Part II: Application to one-dimensional homogeneous and heterogeneous participating media

Acevedo¹,

Roberty²,

Neto³

2010

Comput. Appl. Math.

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Abstract. The steady state inverse radiative transfer problem in one-dimensional participating media is studied as an example of application of the new methodology presented in a accompanying paper by the authors [2]. Spectral methods are used for the appropriate analysis of the direct transport problem. For the inverse problem, we present a matrix that involves only values of the flux intensities at the boundary of the medium. Its columns are built with a set of linearly independent solutions for the system, which is formed when angular half-range prescribed boundary values and the complementary measured half-range boundary values are coupled. The final inverse albedo problem is treated as a full range two point boundary value problem. Test cases results are presented.Mathematical subject classification: 80A23, 15A29.

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Section: An Explicit Formulation Inverse Transport Problem -Part IImentioning

confidence: 99%

An explicit formulation for the inverse transport problem using only external detectors: Part II: Application to one-dimensional homogeneous and heterogeneous participating media

Acevedo¹,

Roberty²,

Neto³

2010

Comput. Appl. Math.

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“…Koseki et al . [ 7 ] discussed a method which replaces potentially corrupted areas with zero, and then the modified gray scale sinogram is backward projected. In this method however, the detected metallic projection areas may be confused with areas having original zero values.…”

Section: Introductionmentioning

confidence: 99%

Metal Artifact Reduction in Dental Computed Tomography Images Based on Sinogram Segmentation Using Curvelet Transform Followed by Hough Transform

Yazdi

Mohammadi

2017

J Med Signals Sens

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In X-ray computed tomography (CT), the presence of metal objects in a patient's body produces streak artifacts in the reconstructed images. During the past decades, many different methods were proposed for the reduction or elimination of the streaking artifacts. When scanning a patient, the projection data affected by metal objects (missing projections) appear as regions with high intensities in the sinogram. In spiral fan beam CT, these regions are sinusoid-like curves on sinogram. During the first time, if the metal curves are detected carefully, then, they can be replaced by corresponding unaffected projections using other slices or opposite views; therefore, the CT slices regenerated by the modified sonogram will be imaged with high quality. In this paper, a new method of the segmentation of metal traces in spiral fan–beam CT sinogram is proposed. This method is based on a sinogram curve detection using a curvelet transform followed by 2D Hough transform. The initial enhancement of the sinogram using modified curvelet transform coefficients is performed by suppressing all the coefficients of one band and applying 2D Hough transform to detect more precisely metal curves. To evaluate the performance of the proposed method for the detection of metal curves in a sinogram, precision and recall metrics are calculated. Compared with other methods, the results show that the proposed method is capable of detecting metal curves, with better precision and good recovery.

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Additive manufactured porous titanium structures: Through-process quantification of pore and strut networks

Kim

Sheng

Zhang

et al. 2014

Journal of Materials Processing Technology

116

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CT Image Reconstruction Algorithm to Reduce Metal Artifact

Cited by 5 publications

References 10 publications

An explicit formulation for the inverse transport problem using only external detectors: Part II: Application to one-dimensional homogeneous and heterogeneous participating media

An explicit formulation for the inverse transport problem using only external detectors: Part II: Application to one-dimensional homogeneous and heterogeneous participating media

Metal Artifact Reduction in Dental Computed Tomography Images Based on Sinogram Segmentation Using Curvelet Transform Followed by Hough Transform

Additive manufactured porous titanium structures: Through-process quantification of pore and strut networks

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