SU-E-T-329: Dosimetric Impact of Implementing Metal Artifact Reduction Methods and Metal Energy Deposition Kernels for Photon Dose Calculations

2015 ◽  
Vol 42 (6Part17) ◽  
pp. 3409-3409
Author(s):  
J Huang ◽  
D Followill ◽  
R Howell ◽  
X Liu ◽  
D Mirkovic ◽  
...  
Keyword(s):  
Energy Deposition ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Dose Calculations ◽  
Photon Dose ◽  
Reduction Methods

Comprehensive Survey on Metal Artifact Reduction Methods in Computed Tomography Images

2017 ◽  
pp. 1281-1302 ◽  
Author(s):  
Shrinivas D. Desai ◽  
Linganagouda Kulkarni
Keyword(s):  
Medical Imaging ◽  
Ct Images ◽  
Future Research ◽  
Reference Source ◽  
Projection Data ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Reduction Methods ◽  
Comprehensive Survey

Over the past few years, medical imaging technology has significantly advanced. Today, medical imaging modalities have been designed with state-of-the-art technology to provide much better in-depth resolution, reduced artifacts, and improved contrast –to – noise ratio. However in many practical situations complete projection data is not acquired leading to incomplete data problem. When the data is incomplete, tomograms may blur, resolution degrades, noise increases and forms artifacts which is the most important factor in degrading the tomography image quality and eventually hinders diagnostic accuracy. Efficient strategies to address this problem and to improve the diagnostic acceptability of CT images are thus invaluable. This review work, presents comprehensive survey of techniques for minimization of streaking artifact due to metallic implant in CT images. Problematic issues and outlook for the future research are discussed too. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in metal artifact reduction methods.

scholarly journals Evaluation of three commercial metal artifact reduction methods for CT simulations in radiation therapy

2014 ◽  
Vol 2 (2) ◽  
pp. 020224
Author(s):  
Jessie Huang ◽  
James Kerns ◽  
Jessica Nute ◽  
Xinming Liu ◽  
Francesco Stingo ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Reduction Methods

Clinical Assessment of Metal Artifact Reduction Methods in Dual-Energy CT Examinations of Instrumented Spines

2019 ◽  
Vol 212 (2) ◽  
pp. 395-401 ◽  
Author(s):  
Zaiyang Long ◽  
David R. DeLone ◽  
Amy L. Kotsenas ◽  
Vance T. Lehman ◽  
Alex A. Nagelschneider ◽  
...  
Keyword(s):  
Clinical Assessment ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Reduction Methods

scholarly journals A projection-domain iterative algorithm for metal artifact reduction by minimizing the total-variation norm and the negative-pixel energy

2022 ◽  
Vol 5 (1) ◽  
Author(s):  
Gengsheng L. Zeng
Keyword(s):  
Objective Function ◽  
Total Variation ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Metal Artifacts ◽  
Total Variation Norm ◽  
Image Domain ◽  
Reduction Methods ◽  
Projection Domain

AbstractMetal objects in X-ray computed tomography can cause severe artifacts. The state-of-the-art metal artifact reduction methods are in the sinogram inpainting category and are iterative methods. This paper proposes a projection-domain algorithm to reduce the metal artifacts. In this algorithm, the unknowns are the metal-affected projections, while the objective function is set up in the image domain. The data fidelity term is not utilized in the objective function. The objective function of the proposed algorithm consists of two terms: the total variation of the metal-removed image and the energy of the negative-valued pixels in the image. After the metal-affected projections are modified, the final image is reconstructed via the filtered backprojection algorithm. The feasibility of the proposed algorithm has been verified by real experimental data.

Influence of metal segmentation on the quality of metal artifact reduction methods

2013 ◽  
Author(s):  
Maik Stille ◽  
Bärbel Kratz ◽  
Jan Müller ◽  
Nicole Maass ◽  
Ingo Schasiepen ◽  
...  
Keyword(s):  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Reduction Methods

Comprehensive Survey on Metal Artifact Reduction Methods in Computed Tomography Images

2015 ◽  
Vol 2 (2) ◽  
pp. 92-114 ◽  
Author(s):  
Shrinivas D Desai ◽  
Linganagouda Kulkarni
Keyword(s):  
Medical Imaging ◽  
Ct Images ◽  
Reference Source ◽  
Projection Data ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Computed Tomography Images ◽  
Reduction Methods ◽  
Comprehensive Survey

Over the past few years, medical imaging technology has significantly advanced. Today, medical imaging modalities have been designed with state-of-the-art technology to provide much better in-depth resolution, reduced artifacts, and improved contrast –to – noise ratio. However in many practical situations complete projection data is not acquired leading to incomplete data problem. When the data is incomplete, tomograms may blur, resolution degrades, noise increases and forms artifacts which is the most important factor in degrading the tomography image quality and eventually hinders diagnostic accuracy. Efficient strategies to address this problem and to improve the diagnostic acceptability of CT images are thus invaluable. This review work, presents comprehensive survey of techniques for minimization of streaking artifact due to metallic implant in CT images. Problematic issues and outlook for the future research are discussed too. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in metal artifact reduction methods.

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