SU-DD-A3-04: Evaluation of Metal Artifact Reduction Using MVCT and Model Based Image Reconstruction

2010 ◽  
Vol 37 (6Part12) ◽  
pp. 3091-3091
Author(s):  
M Paudel ◽  
P Kirvan ◽  
BG Fallone ◽  
S Rathee
Keyword(s):  
Image Reconstruction ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Model Based

scholarly journals Metal artifact reduction on MRI images

2018 ◽  
Vol 226 ◽  
pp. 04048
Author(s):  
Nikolay V. Gapon ◽  
Evgenii A. Semenishchev ◽  
Oxana S. Balabaeva ◽  
Arina A. Skorikova ◽  
Olga A. Tokareva ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Reconstruction ◽  
State Of The Art ◽  
Geometric Model ◽  
Similarity Criterion ◽  
Experimental Results ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Trained Neural Network

This article examines the method of image reconstruction, which aims to restore the exposed areas on MRI images. The algorithm is based on a geometric model for patch synthesis. The lost pixels are recovered by copying pixel values from the source using a similarity criterion. We used a trained neural network to choose the “best similar” patch. Experimental results show that the proposed method outperforms widely used state-of-the-art methods.

Metal artifact reduction image reconstruction algorithm for CT of implanted metal orthopedic devices: a work in progress

2009 ◽  
Vol 38 (8) ◽  
pp. 797-802 ◽  
Author(s):  
Patrick T. Liu ◽  
William P. Pavlicek ◽  
Mary B. Peter ◽  
Mark J. Spangehl ◽  
Catherine C. Roberts ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Image Reconstruction Algorithm ◽  
Work In Progress

Metal artifact reduction for small metal implants on CT: Which image reconstruction algorithm performs better?

2020 ◽  
Vol 127 ◽  
pp. 108970 ◽  
Author(s):  
Aurélie Grandmougin ◽  
Omar Bakour ◽  
Nicolas Villani ◽  
Cedric Baumann ◽  
Hélène Rousseau ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Image Reconstruction Algorithm ◽  
Metal Implants

scholarly journals Comparison of different CT metal artifact reduction strategies for standard titanium and carbon‐fiber reinforced polymer implants in sheep cadavers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Florian A. Huber ◽  
Kai Sprengel ◽  
Lydia Müller ◽  
Laura C. Graf ◽  
Georg Osterhoff ◽  
...  
Keyword(s):  
Carbon Fiber ◽  
Image Reconstruction ◽  
Image Noise ◽  
Titanium Implants ◽  
Artifact Reduction ◽  
Metal Artifact ◽  
Metal Artifact Reduction ◽  
Fiber Reinforced ◽  
Carbon Fiber Reinforced ◽  
The Impact

Abstract Background CT artifacts induced by orthopedic implants can limit image quality and diagnostic yield. As a number of different strategies to reduce artifact extent exist, the aim of this study was to systematically compare ex vivo the impact of different CT metal artifact reduction (MAR) strategies on spine implants made of either standard titanium or carbon-fiber-reinforced-polyetheretherketone (CFR-PEEK). Methods Spine surgeons fluoroscopically-guided prepared six sheep spine cadavers with pedicle screws and rods of either titanium or CFR-PEEK. Samples were subjected to single- and dual-energy (DE) CT-imaging. Different tube voltages (80, DE mixed, 120 and tin-filtered 150 kVp) at comparable radiation dose and iterative reconstruction versus monoenergetic extrapolation (ME) techniques were compared. Also, the influence of image reconstruction kernels (soft vs. bone tissue) was investigated. Qualitative (Likert scores) and quantitative parameters (attenuation changes induced by implant artifact, implant diameter and image noise) were evaluated by two independent radiologists. Artifact degree of different MAR-strategies and implant materials were compared by multiple ANOVA analysis. Results CFR-PEEK implants induced markedly less artifacts than standard titanium implants (p < .001). This effect was substantially larger than any other tested MAR technique. Reconstruction algorithms had small impact in CFR-PEEK implants and differed significantly in MAR efficiency (p < .001) with best MAR performance for DECT ME 130 keV (bone kernel). Significant differences in image noise between reconstruction kernels were seen (p < .001) with minor impact on artifact degree. Conclusions CFR-PEEK spine implants induce significantly less artifacts than standard titanium compositions with higher MAR efficiency than any alternate scanning or image reconstruction strategy. DECT ME 130 keV image reconstructions showed least metal artifacts. Reconstruction kernels primarily modulate image noise with minor impact on artifact degree.

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