Impact of Single-Energy Metal Artifact Reduction on CT image quality in patients with dental hardware

To evaluate whether Canon's Single-Energy Metal Artifact Reduction (SEMAR) algorithm can significantly improve subjective and objective image quality of patients with nonremovable dental hardware undergoing CT imaging of the oral cavity and oropharynx. SEMAR was reconstructed from routine Adapt...

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Published in:Computers in biology and medicine 2018-12, Vol.103, p.161-166
Main Authors: Niehues, Stefan Markus, Vahldiek, Janis Lucas, Tröltzsch, Daniel, Hamm, Bernd, Shnayien, Seyd
Format: Article
Language:English
Subjects:
Algorithms
Artifact reduction
Attenuation
Computed tomography
Correlation analysis
Correlation coefficient
Correlation coefficients
Dental implants
Dental materials
Diagnostic systems
Females
Floors
Glands
Hardware
Head & neck cancer
Image analysis
Image processing
Image quality
Image reconstruction
Males
Maxillofacial
Medical imaging
Metals
Noise
Oral cavity
Oropharynx
Patients
Photon starvation
Quality
Reduction
Reduction (metal working)
Single-energy metal artifact reduction
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creator Niehues, Stefan Markus
Vahldiek, Janis Lucas
Tröltzsch, Daniel
Hamm, Bernd
Shnayien, Seyd
description To evaluate whether Canon's Single-Energy Metal Artifact Reduction (SEMAR) algorithm can significantly improve subjective and objective image quality of patients with nonremovable dental hardware undergoing CT imaging of the oral cavity and oropharynx. SEMAR was reconstructed from routine Adaptive Iterative Dose Reduction (AIDR) images in 154 patients (46 females and 108 males; mean age 66.3 ± 10.5 years). Subjective SEMAR and AIDR image quality of the mouth floor, sublingual glands, lymphatic ring and overall impression were evaluated by two independent radiologists on a 6-point scale (1 = very good image quality, 6 = poor image quality) and compared to ratings of an oral and maxillofacial surgeon. Interrater agreement was assessed using the intraclass correlation coefficient (ICC). Objective image analysis was performed by placing regions of interest (ROIs) on the mouth floor and measuring CT attenuation in Hounsfield units (HU) and standard deviation (SD). SEMAR significantly improved subjective image quality in all evaluated structures for all raters (p 
doi_str_mv 10.1016/j.compbiomed.2018.10.023
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SEMAR was reconstructed from routine Adaptive Iterative Dose Reduction (AIDR) images in 154 patients (46 females and 108 males; mean age 66.3 ± 10.5 years). Subjective SEMAR and AIDR image quality of the mouth floor, sublingual glands, lymphatic ring and overall impression were evaluated by two independent radiologists on a 6-point scale (1 = very good image quality, 6 = poor image quality) and compared to ratings of an oral and maxillofacial surgeon. Interrater agreement was assessed using the intraclass correlation coefficient (ICC). Objective image analysis was performed by placing regions of interest (ROIs) on the mouth floor and measuring CT attenuation in Hounsfield units (HU) and standard deviation (SD). SEMAR significantly improved subjective image quality in all evaluated structures for all raters (p &lt; 0.001). Furthermore, SEMAR significantly reduced objective metal artifacts and image noise (p &lt; 0.001). SEMAR significantly improved diagnostic quality of CT images of the oral cavity and oropharynx by reducing artifacts caused by dental hardware. •Metal artifacts from dental implants degrades diagnostic information in CT imaging.•SEMAR is an algorithm to reduce metal artifacts caused by photon starvation.•SEMAR significantly improves subjective image quality across medical specialties.•SEMAR significantly reduces image noise and leads to realistic CT attenuations.•SEMAR can be applied to raw data retrospectively and requires no previous planning.</description><identifier>ISSN: 0010-4825</identifier><identifier>EISSN: 1879-0534</identifier><identifier>DOI: 10.1016/j.compbiomed.2018.10.023</identifier><identifier>PMID: 30384174</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Algorithms ; Artifact reduction ; Attenuation ; Computed tomography ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Dental implants ; Dental materials ; Diagnostic systems ; Females ; Floors ; Glands ; Hardware ; Head &amp; neck cancer ; Image analysis ; Image processing ; Image quality ; Image reconstruction ; Males ; Maxillofacial ; Medical imaging ; Metals ; Noise ; Oral cavity ; Oropharynx ; Patients ; Photon starvation ; Quality ; Reduction ; Reduction (metal working) ; Single-energy metal artifact reduction</subject><ispartof>Computers in biology and medicine, 2018-12, Vol.103, p.161-166</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright © 2018 Elsevier Ltd. 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SEMAR significantly improved diagnostic quality of CT images of the oral cavity and oropharynx by reducing artifacts caused by dental hardware. •Metal artifacts from dental implants degrades diagnostic information in CT imaging.•SEMAR is an algorithm to reduce metal artifacts caused by photon starvation.•SEMAR significantly improves subjective image quality across medical specialties.•SEMAR significantly reduces image noise and leads to realistic CT attenuations.•SEMAR can be applied to raw data retrospectively and requires no previous planning.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>30384174</pmid><doi>10.1016/j.compbiomed.2018.10.023</doi><tpages>6</tpages></addata></record>
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subjects Algorithms
Artifact reduction
Attenuation
Computed tomography
Correlation analysis
Correlation coefficient
Correlation coefficients
Dental implants
Dental materials
Diagnostic systems
Females
Floors
Glands
Hardware
Head & neck cancer
Image analysis
Image processing
Image quality
Image reconstruction
Males
Maxillofacial
Medical imaging
Metals
Noise
Oral cavity
Oropharynx
Patients
Photon starvation
Quality
Reduction
Reduction (metal working)
Single-energy metal artifact reduction
title Impact of Single-Energy Metal Artifact Reduction on CT image quality in patients with dental hardware
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