Total Hip Prosthesis Metal-Artifact Suppression Using Iterative Deblurring Reconstruction

Robertson, Douglas D.; Yuan, Jie; Wang, Ge; Vannier, Michael W.

doi:10.1097/00004728-199703000-00024

Cited by 109 publications

(52 citation statements)

References 16 publications

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“…4 are seen to be suppressed, showing that accounting for the applicator can lead to significant improvement in the quality of the reconstructed image. This result is similar to but extends that reported in [17], [22], and [26], wherein a uniformly opaque, convex applicator model was used and assumed to be in a known pose, to include a nonuniform applicator with parts having finite attenuation coefficients.…”

Section: Experiments 2: (Occt With Known Applicator Pose)supporting

confidence: 85%

Deblurring subject to nonnegativity constraints when known functions are present with application to object-constrained computerized tomography

Snyder

O'Sullivan

Whiting

et al. 2001

IEEE Trans. Med. Imaging

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Abstract-The reconstruction of tomographic images is often treated as a linear deblurring problem. When a high-density, man-made metal object is present somewhere in the image field, it is a deblurring problem in which the unknown function has a component that is known except for some location and orientation parameters. We first address general linear deblurring problems in which a known function having unknown parameters is present. We then show how the resulting iterative solution can be applied to tomographic imaging in the presence of man-made foreign objects, and we apply the result, in particular, to X-ray computed tomography imaging used in support of brachytherapy treatment of advanced cervical cancer.Index Terms-Brachytherapy, cervical cancer, computerized tomography, metal artifacts, tomography.

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Section: Experiments 2: (Occt With Known Applicator Pose)supporting

confidence: 85%

Deblurring subject to nonnegativity constraints when known functions are present with application to object-constrained computerized tomography

Snyder

O'Sullivan

Whiting

et al. 2001

IEEE Trans. Med. Imaging

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“…The linear interpolation technique is a frequently used technique to remove metal artefacts. [16][17][18] In our study, the darkest streaks caused by beam hardening were significantly corrected with MARli. Nevertheless, MARli did not work well in correcting artefacts in the majority of images in this study.…”

Section: Discussionmentioning

confidence: 71%

Clinical evaluation of the normalized metal artefact reduction algorithm caused by dental fillings in CT

Gong

Meyer²,

Xj³

et al. 2013

Dentomaxillofacial Radiology

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Objectives: The aim of this study was to evaluate the performance of a normalized metal artefact reduction (NMAR) algorithm in patients with high-density dental fillings in CT images, and compare the results with weighted filtered back-projection (WFBP) and linear interpolation metal artefact reduction (MARli) algorithms. Methods: A total of 15 patients who had dental fillings were included in this study. The CT raw data sets were processed on an offline workstation. For each data set, one image series was reconstructed with WFBP, one with MARli and one with NMAR. Two observers qualitatively graded the severity of metal artefacts and their impacts on surrounding and distant soft tissue using a five-point scale. Six regions of interest were selected to measure the CT values and the standard deviation (SD) for quantitatively evaluating the effects of artefact reduction. Results: A total of 217 slices with metal artefacts from 15 patients were included in the qualitative analysis. The average score (mean 6 SD) with the WFBP and MARli algorithms was 2.24 6 1.06 and 2.71 6 0.73, respectively. Image artefacts were significantly reduced using the NMAR algorithm compared with the other two algorithms, with an average score of 1.70 6 0.83. The mean CT value in the most hypodense streak artefacts around the metal fillings was significantly improved with both MARli and NMAR. The mean SDs of measured CT values from surrounding or distant soft tissues were lower in NMAR images than in WFBP and MARli images. Conclusions: The NMAR algorithm can significantly reduce the artefacts caused by dental fillings, compared with the WFBP and linear interpolation algorithms.

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“…In recent years, modified iterative (Wang et al 1996, 1999, Man et al 2000 or wavelet reconstruction techniques have produced promising results. However, these methods cannot be combined with the fast and robust FBP algorithm, which is the standard reconstruction technique (Robertson et al 1997) implemented in modern CT scanners. Digital linear tomosynthesis using the FBP algorithm shows adequate overall performance, but its effectiveness depends strongly on the region of the image.…”

Section: Wwwintechopencommentioning

confidence: 99%

X-Ray Digital Linear Tomosynthesis Imaging of Arthoroplasty

Gomi¹,

Honda²,

Nakajima³

2012

Recent Advances in Arthroplasty

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Total Hip Prosthesis Metal-Artifact Suppression Using Iterative Deblurring Reconstruction

Abstract: Iterative deblurring generated nearly metal-artifact-free images in this simulation. Filtered backprojection, even after linear interpolation, produced typical clinical metal-artifact images.

Cited by 109 publications

References 16 publications

Deblurring subject to nonnegativity constraints when known functions are present with application to object-constrained computerized tomography

Deblurring subject to nonnegativity constraints when known functions are present with application to object-constrained computerized tomography

Clinical evaluation of the normalized metal artefact reduction algorithm caused by dental fillings in CT

X-Ray Digital Linear Tomosynthesis Imaging of Arthoroplasty

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