The performance of metal artifact reduction algorithms in cone beam computed tomography images considering the effects of materials, metal positions, and fields of view

Karla de Faria Vasconcelos; Marina Codari; Polyane Mazucatto Queiroz; Laura Ferreira Pinheiro Nicolielo; Deborah Queiroz Freitas; Chiarella Sforza; Reinhilde Jacobs; Francisco Haiter-Neto

doi:10.1016/j.oooo.2018.09.004

The performance of metal artifact reduction algorithms in cone beam computed tomography images considering the effects of materials, metal positions, and fields of view

Oral Surg Oral Med Oral Pathol Oral Radiol. 2019 Jan;127(1):71-76. doi: 10.1016/j.oooo.2018.09.004. Epub 2018 Sep 26.

Authors

Karla de Faria Vasconcelos¹, Marina Codari², Polyane Mazucatto Queiroz³, Laura Ferreira Pinheiro Nicolielo⁴, Deborah Queiroz Freitas³, Chiarella Sforza⁵, Reinhilde Jacobs⁶, Francisco Haiter-Neto⁴

Affiliations

¹ OIC, OMFS IMPATH research group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven and Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium; Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, State University of Campinas, Piracicaba, São Paulo, Brazil. Electronic address: karlafav13@gmial.com.
² OIC, OMFS IMPATH research group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven and Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium; Department of Biomedical Sciences for Health, Faculty of Medicine and Surgery, University of Milan, Milan, Italy.
³ Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, State University of Campinas, Piracicaba, São Paulo, Brazil.
⁴ OIC, OMFS IMPATH research group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven and Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium.
⁵ Department of Biomedical Sciences for Health, Faculty of Medicine and Surgery, University of Milan, Milan, Italy.
⁶ OIC, OMFS IMPATH research group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven and Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium; Oral Facial Diagnostics and Surgery, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.

PMID: 30528550
DOI: 10.1016/j.oooo.2018.09.004

Abstract

Objective: The aim of this study was to assess the performance of 2 metal artifact reduction (MAR) algorithms in cone beam computed tomography (CBCT) imaging, considering different materials, metal positions, and fields of view (FOVs).

Study design: Nine phantoms containing cylinders of amalgam, copper-aluminum (Cu-Al) alloy, and titanium were scanned by using Picasso Trio and ProMax 3D CBCT units with small and medium FOVs. Scans were made with and without MAR algorithms. The standard deviation (SD) of voxel gray values was measured in the neighborhood of the cylinders. Differences in SD were statistically evaluated for effects of MAR and the other parameters, with a significance level of 5%.

Results: Significant differences between images with MAR and those without MAR for both devices (P ≤ .0001) were observed. Amalgam showed the largest artifact expression, followed by Cu-Al and titanium. After correction, differences remained only in Picasso Trio images (P = .002). Considering positions, no significant difference in the performance of the MAR algorithm was observed in either device. Considering FOVs, significant differences were observed for ProMax 3D (P = .005), with less artifact expression in the medium FOV after MAR correction.

Conclusions: MAR algorithms were effective for artifact reduction despite variation in performance according to device, FOV, and material properties. The position of the metal cylinder within the FOV had no significant effect.

MeSH terms

Algorithms
Artifacts*
Cone-Beam Computed Tomography*
Dental Materials*
Metals
Phantoms, Imaging

Substances

Dental Materials
Metals