Non-iterative method for metal artifact reduction by using a linearized beam-hardening correction model for polychromatic x-ray CT

2019 ◽  
Author(s):  
JIN HUR ◽  
DONGJOON KIM ◽  
SANGCHUL LEE ◽  
YEONG-GIL SHIN
Keyword(s):  
Iterative Method ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Beam Hardening ◽  
Correction Model ◽  
X Ray ◽  
Beam Hardening Correction

Comparative methods for metal artifact reduction in x-ray CT

2014 ◽  
Author(s):  
Mehrsima Abdoli ◽  
Abolfazl Mehranian ◽  
Angeliki Ailianou ◽  
Minerva Becker ◽  
Habib Zaidi
Keyword(s):  
Comparative Methods ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
X Ray

scholarly journals Gaussian diffusion sinogram inpainting for X-ray CT metal artifact reduction

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Chengtao Peng ◽  
Bensheng Qiu ◽  
Ming Li ◽  
Yihui Guan ◽  
Cheng Zhang ◽  
...  
Keyword(s):  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
X Ray

Metal artifact reduction using common dental materials

2021 ◽  
pp. 20210302
Author(s):  
Nicole V Hinchy ◽  
Nina K Anderson ◽  
Mina Mahdian
Keyword(s):  
Dental Materials ◽  
Cone Beam ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Beam Hardening ◽  
Plot Analysis ◽  
Post Hoc ◽  
And Control ◽  
Axial View

Objectives To determine the effect of different dental lab materials on cone beam computed tomography (CBCT) metal artifact at different resolutions. Methods A total of seven common dental lab materials were molded to a dental sextant of four extracted, restored teeth. In addition to base alone (control), each material was scanned using the Carestream 9600 CBCT unit at three resolutions – 0.3 mm, 0.15 mm, and 0.075 mm – at manufacturer established exposure parameters. A single, representative axial view of each trial was evaluated for metal artifact both quantitatively by histogram analysis and qualitatively by profile plot analysis in ImageJ. Results No statistically significant differences between the control and the dental materials were found; however, post-hoc tests showed significance between Blu-mousse® and polyvinyl siloxane with dental materials and control, predominantly in lower resolutions. Conclusions The current study provides initial evidence on the influence of dental materials have on CBCT metal artifact as described by beam hardening, photon starvation, scatter, and noise, especially at lower resolutions. Blu-Mousse® and polyvinyl siloxane reduced the perceived beam hardening and photon starvation artifact the greatest, relative to other materials, at all three resolutions and lower resolutions, respectively.

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