Prototype metal artefact reduction algorithm in flat panel computed tomography - evaluation in patients undergoing transarterial hepatic radioembolisation.
Eur Radiol
; 28(1): 265-273, 2018 Jan.
Article
em En
| MEDLINE
| ID: mdl-28710583
ABSTRACT
OBJECTIVE:
To investigate the effect of an on-site prototype metal artefact reduction (MAR) algorithm in cone-beam CT-catheter-arteriography (CBCT-CA) in patients undergoing transarterial radioembolisation (RE) of hepatic masses. METHODS AND MATERIALS Ethical board approved retrospective study of 29 patients (mean 63.7±13.7 years, 11 female), including 16 patients with arterial metallic coils, undergoing CBCT-CA (8s scan, 200 degrees rotation, 397 projections). Image reconstructions with and without prototype MAR algorithm were evaluated quantitatively (streak-artefact attenuation changes) and qualitatively (visibility of hepatic parenchyma and vessels) in near- (<1cm) and far-field (>3cm) of artefact sources (metallic coils and catheters). Quantitative and qualitative measurements of uncorrected and MAR corrected images and different artefact sources were comparedRESULTS:
Quantitative evaluation showed significant reduction of near- and far-field streak-artefacts with MAR for both artefact sources (p<0.001), while remaining stable for unaffected organs (all p>0.05). Inhomogeneities of attenuation values were significantly higher for metallic coils compared to catheters (p<0.001) and decreased significantly for both after MAR (p<0.001). Qualitative image scores were significantly improved after MAR (all p<0.003) with by trend higher artefact degrees for metallic coils compared to catheters.CONCLUSION:
In patients undergoing CBCT-CA for transarterial RE, prototype MAR algorithm improves image quality in proximity of metallic coil and catheter artefacts. KEY POINTS ⢠Metal objects cause artefacts in cone-beam computed tomography (CBCT) imaging. ⢠These artefacts can be corrected by metal artefact reduction (MAR) algorithms. ⢠Corrected images show significantly better visibility of nearby hepatic vessels and tissue. ⢠Better visibility may facilitate image interpretation, save time and radiation exposure.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
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Processamento de Imagem Assistida por Computador
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Artefatos
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Tomografia Computadorizada de Feixe Cônico
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Neoplasias Hepáticas
Tipo de estudo:
Observational_studies
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Prognostic_studies
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Qualitative_research
Limite:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article