Do the number of basis images and metal artifact reduction affect the production of artifacts near and far from zirconium dental implants in CBCT?

[11] Giantsoudi D(2018)Effect of object position in the field of view and application of a metal artifact reduction algorithm on the detection of vertical root fractures on cone-beam computed tomography scans: an in vitro study Imaging Sci Dent 48 245-99

[12] Wang G(2020)Influence of the intracanal material and metal artifact reduction tool in the detection of the second mesiobuccal canal in cone-beam computed tomographic examinations J Endod 46 1067-273

[13] Queiroz PM(2020)Use of the metal artefact reduction tool in the identification of fractured endodontic instruments in cone-beam computed tomography Int Endod J 53 506-653

[14] Santaella GM(2020)The efficacy of metal artifact reduction (MAR) algorithm in cone-beam computed tomography on the diagnostic accuracy of fenestration and dehiscence around dental implants J Periodontol 91 209-713

[15] da Paz TD(2016)Assessment of furcal perforations in the vicinity of different root canal sealers using a cone beam computed tomography system with and without the application of artifact reduction mode: an ex vivo investigation on extracted human teeth Oral Surg Oral Med Oral Pathol Oral Radiol 121 657-190

[16] Freitas DQ(2018)Metal artifact production and reduction in CBCT with different numbers of basis images Imaging Sci Dent 48 41-556

[17] Freitas DQ(2013)Quantification of metal artifacts on cone beam computed tomography images Clin Oral Implants Res 24 94-873

[18] Fontenele RC(2011)Artefacts in CBCT: a review Dentomaxillofac Radiol 40 265-1270

[19] Nascimento EHL(2015)Effect of exposure parameters and voxel size on bone structure analysis in CBCT Dentomaxillofac Radiol 44 20150078-1044

[20] Vasconcelos TV(2016)The effect of milliamperage, number of basis images, and export slice thickness on contrast-to-noise ratio and detection of mandibular canal on cone beam computed tomography scans: an in vitro study Oral Surg Oral Med Oral Pathol Oral Radiol 122 646-undefined

[11] Giantsoudi D(2018)Effect of object position in the field of view and application of a metal artifact reduction algorithm on the detection of vertical root fractures on cone-beam computed tomography scans: an in vitro study Imaging Sci Dent 48 245-99

[12] Wang G(2020)Influence of the intracanal material and metal artifact reduction tool in the detection of the second mesiobuccal canal in cone-beam computed tomographic examinations J Endod 46 1067-273

[13] Queiroz PM(2020)Use of the metal artefact reduction tool in the identification of fractured endodontic instruments in cone-beam computed tomography Int Endod J 53 506-653

[14] Santaella GM(2020)The efficacy of metal artifact reduction (MAR) algorithm in cone-beam computed tomography on the diagnostic accuracy of fenestration and dehiscence around dental implants J Periodontol 91 209-713

[15] da Paz TD(2016)Assessment of furcal perforations in the vicinity of different root canal sealers using a cone beam computed tomography system with and without the application of artifact reduction mode: an ex vivo investigation on extracted human teeth Oral Surg Oral Med Oral Pathol Oral Radiol 121 657-190

[16] Freitas DQ(2018)Metal artifact production and reduction in CBCT with different numbers of basis images Imaging Sci Dent 48 41-556

[17] Freitas DQ(2013)Quantification of metal artifacts on cone beam computed tomography images Clin Oral Implants Res 24 94-873

[18] Fontenele RC(2011)Artefacts in CBCT: a review Dentomaxillofac Radiol 40 265-1270

[19] Nascimento EHL(2015)Effect of exposure parameters and voxel size on bone structure analysis in CBCT Dentomaxillofac Radiol 44 20150078-1044

[20] Vasconcelos TV(2016)The effect of milliamperage, number of basis images, and export slice thickness on contrast-to-noise ratio and detection of mandibular canal on cone beam computed tomography scans: an in vitro study Oral Surg Oral Med Oral Pathol Oral Radiol 122 646-undefined