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Neuroradiology
Published in: Neuroradiology 3/2017

01-03-2017 | Diagnostic Neuroradiology

Reduction of metal artifacts due to dental hardware in computed tomography angiography: assessment of the utility of model-based iterative reconstruction

Authors: Keita Kuya, Yuki Shinohara, Ayumi Kato, Makoto Sakamoto, Masamichi Kurosaki, Toshihide Ogawa

Published in: Neuroradiology | Issue 3/2017

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Abstract

Purpose

The aim of this study is to assess the value of adaptive statistical iterative reconstruction (ASIR) and model-based iterative reconstruction (MBIR) for reduction of metal artifacts due to dental hardware in carotid CT angiography (CTA).

Methods

Thirty-seven patients with dental hardware who underwent carotid CTA were included. CTA was performed with a GE Discovery CT750 HD scanner and reconstructed with filtered back projection (FBP), ASIR, and MBIR. We measured the standard deviation at the cervical segment of the internal carotid artery that was affected most by dental metal artifacts (SD1) and the standard deviation at the common carotid artery that was not affected by the artifact (SD2). We calculated the artifact index (AI) as follows: AI = [(SD1)2 − (SD2)2]1/2 and compared each AI for FBP, ASIR, and MBIR. Visual assessment of the internal carotid artery was also performed by two neuroradiologists using a five-point scale for each axial and reconstructed sagittal image. The inter-observer agreement was analyzed using weighted kappa analysis.

Results

MBIR significantly improved AI compared with FBP and ASIR (p < 0.001, each). We found no significant difference in AI between FBP and ASIR (p = 0.502). The visual score of MBIR was significantly better than those of FBP and ASIR (p < 0.001, each), whereas the scores of ASIR were the same as those of FBP. Kappa values indicated good inter-observer agreements in all reconstructed images (0.747–0.778).

Conclusions

MBIR resulted in a significant reduction in artifact from dental hardware in carotid CTA.
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Metadata
Title
Reduction of metal artifacts due to dental hardware in computed tomography angiography: assessment of the utility of model-based iterative reconstruction
Authors
Keita Kuya
Yuki Shinohara
Ayumi Kato
Makoto Sakamoto
Masamichi Kurosaki
Toshihide Ogawa
Publication date
01-03-2017
Publisher
Springer Berlin Heidelberg
Published in
Neuroradiology / Issue 3/2017
Print ISSN: 0028-3940
Electronic ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-017-1811-5

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