口腔颌面锥形束CT金属伪影的研究进展

doi:10.13591/j.cnki.kqyx.2022.02.014

Abstract

Abstract: Oral and maxillofacial cone beam computed tomography (CBCT) is one of the common imaging techniques used in oral and maxillofacial region. However, due to the existence of various high-density metal materials in the mouth, the metal artifacts produced by CBCT will reduce image quality and interfere with diagnosis of diseases, which limits its further application in clinical practice. In order to reduce the interference of metal artifacts on CBCT image quality, scholars have proposed a series of methods. This paper reviews the generation and influence of metal artifacts in CBCT, and the reduction methods proposed in recent years, in order to provide reference for oral radiologists to choose the most appropriate method for metal artifact reduction before scanning.

Key words: cone beam computed tomography, metal artifact, metal artifact reduction, deep learning, dual energy

CLC Number:

R455.3

LIU Yu, ZHAO Bin. Research progress on metal artifacts in oral and maxillofacial cone beam CT[J]. Stomatology, 2022, 42(2): 165-169.

References

[1] Pauwels R, Araki K, Siewerdsen JH, et al. Technical aspects of dental CBCT:State of the art[J]. Dentomaxillofac Radiol, 2015, 44(1):20140224.
[2] Pinto MGO,Rabelo KA, Sousa Melo SL, et al. Influence of exposure parameters on the detection of simulated root fractures in the presence of various intracanal materials[J]. Int Endod J, 2017, 50(6):586-594.
[3] Schulze R,Heil U, Gross D, et al. Artefacts in CBCT:A review[J]. Dentomaxillofac Radiol, 2011, 40(5):265-273.
[4] deRezende Barbosa GL, Sousa Melo SL, Alencar PN, et al. Performance of an artefact reduction algorithm in the diagnosis of in vitro vertical root fracture in four different root filling conditions on CBCT images[J]. Int Endod J, 2016, 49(5):500-508.
[5] Barrett JF,Keat N. Artifacts in CT:Recognition and avoidance[J]. Radiographics, 2004, 24(6):1679-1691.
[6] Cohen S, Berman LH, Blanco L,et al. A demographic analysis of vertical root fractures[J]. J Endod, 2006, 32(12):1160-1163.
[7] Edlund M, Nair MK, Nair UP. Detection of vertical root fractures by using cone-beam computed tomography:A clinical study[J]. J Endod, 2011, 37(6):768-772.
[8] Talwar S, Utneja S, Nawal RR, et al. Role of cone-beam computed tomography in diagnosis of vertical root fractures:A systematic review and meta-analysis[J]. J Endod, 2016, 42(1):12-24.
[9] Marinho Vieira LE, Diniz de Lima E, Peixoto LR, et al. Assessment of the influence of different intracanal materials on the detection of root fracture in birooted teeth by cone-beam computed tomography[J]. J Endod, 2020, 46(2):264-270.
[10] Dutra KL,Pachêco-Pereira C, Bortoluzzi EA, et al. Influence of intracanal materials in vertical root fracture pathway detection with cone-beam computed tomography[J]. J Endod, 2017, 43(7):1170-1175.
[11] Fontenele RC, Farias Gomes A, Nejaim Y, et al. Do the tube current and metal artifact reduction influence the diagnosis of vertical root fracture in a tooth positioned in the vicinity of a zirconium implant? A CBCT study[J]. Clin Oral Investig, 2021, 25(4):2229-2235.
[12] Gaêta-Araujo H, de Oliveira Reis L, Nascimento EHL, et al. Influence of metal post in adjacent teeth in the detection of vertical root fracture using cone-beam computed tomography with different acquisition parameters[J]. J Endod, 2020:S0099-S2399(20)30610-5.
[13] de-Azevedo-Vaz SL, Peyneau PD, Ramirez-Sotelo LR, et al. Efficacy of a cone beam computed tomography metal artifact reduction algorithm for the detection of peri-implant fenestrations and dehiscences[J]. Oral Surg Oral Med Oral Pathol Oral Radiol, 2016, 121(5):550-556.
[14] Eskandarloo A, Saati S, Ardakani MP, et al. Diagnostic accuracy of three cone beam computed tomography systems and periapical radiography for detection of fenestration around dental implants[J]. Contemp Clin Dent, 2018, 9(3):376-381.
[15] Schriber M, Yeung AWK, Suter VGA, et al. Cone beam computed tomography artefacts around dental implants with different materials influencing the detection of peri-implant bone defects[J]. Clin Oral Implants Res, 2020, 31(7):595-606.
[16] Haas OL Jr, Becker OE, de Oliveira RB. Computer-aided planning in orthognathic surgery-systematic review[J]. Int J Oral Maxillofac Surg, 2014:S0901-S5027(14)00430-5.
[17] vanEijnatten M, van Dijk R, Dobbe J, et al. CT image segmentation methods for bone used in medical additive manufacturing[J]. Med Eng Phys, 2018, 51:6-16.
[18] Freitas DQ, Fontenele RC, Nascimento EHL, et al. Influence of acquisition parameters on the magnitude of cone beam computed tomography artifacts[J]. Dentomaxillofac Radiol, 2018, 47(8):20180151.
[19] Vasconcelos TV, Bechara BB, McMahan CA, et al. Evaluation of artifacts generated by zirconium implants in cone-beam computed tomography images[J]. Oral Surg Oral Med Oral Pathol Oral Radiol, 2017, 123(2):265-272.
[20] Vasconcelos TV, Leandro Nascimento EH, Bechara BB, et al. Influence of cone beam computed tomography settings on implant artifact production:Zirconia and titanium[J]. Int J Oral Maxillofac Implants, 2019, 34(5):1114-1120.
[21] Gaêta-Araujo H, Silva de Souza GQ, Freitas DQ, et al. Optimization of tube current in cone-beam computed tomography for the detection of vertical root fractures with different intracanal materials[J]. J Endod, 2017, 43(10):1668-1673.
[22] Vasconcelos KF, Codari M, Queiroz PM, et al. The performance of metal artifact reduction algorithms in cone beam computed tomography images considering the effects of materials, metal positions, and fields of view[J]. Oral Surg Oral Med Oral Pathol Oral Radiol, 2019, 127(1):71-76.
[23] Queiroz PM, Groppo FC, Oliveira ML, et al. Evaluation of the efficacy of a metal artifact reduction algorithm in different cone beam computed tomography scanning parameters[J]. Oral Surg Oral Med Oral Pathol Oral Radiol, 2017, 123(6):729-734.
[24] Shokri A, Jamalpour MR, Khavid A, et al. Effect of exposure parameters of cone beam computed tomography on metal artifact reduction around the dental implants in various bone densities[J]. BMC Med Imaging, 2019, 19(1):34.
[25] Costa EDD,Queiroz PM, Santaella GM, et al. Influence of scan mode (partial/full rotations) and FOV size in the formation of artefacts in cone beam CT[J]. Dentomaxillofac Radiol, 2019, 48(4):20180340.
[26] de Oliveira Pinto MG, SousaMelo SL, Cavalcanti YW, et al. Influence of tooth position within the field of view on the intensity of cone-beam computed tomographic imaging artifacts when assessing teeth restored with various intracanal materials[J]. Imaging Sci Dent, 2020, 50(2):141-151.
[27] Valizadeh S, Vasegh Z, Rezapanah S, et al. Effect of object position in cone beam computed tomography field of view for detection of root fractures in teeth with intra-canal posts[J]. Iran J Radiol, 2015, 12(4):e25272.
[28] Spin-Neto R, Gotfredsen E, Wenzel A. Impact of voxel size variation on CBCT-based diagnostic outcome in dentistry:A systematic review[J]. J Digit Imaging, 2013, 26(4):813-820.
[29] Iikubo M, Nishioka T, Okura S, et al. Influence of voxel size and scan field of view on fracture-like artifacts from gutta-percha obturated endodontically treated teeth on cone-beam computed tomography images[J]. Oral Surg Oral Med Oral Pathol Oral Radiol, 2016, 122(5):631-637.
[30] Uysal S, Akcicek G, Yalcin ED, et al. The influence of voxel size and artifact reduction on the detection of vertical root fracture in endodontically treated teeth[J]. Acta Odontol Scand, 2020:1-5.
[31] Queiroz PM, Oliveira ML, Groppo FC, et al. Evaluation of metal artefact reduction in cone-beam computed tomography images of different dental materials[J]. Clin Oral Investig, 2018, 22(1):419-423.
[32] Nejaim Y, Farias Gomes A, Queiroz PM, et al. Artifact expression of polylactic acid/hydroxyapatite/graphene oxide nanocomposite in CBCT:A promising dental material[J]. Clin Oral Investig, 2020, 24(5):1695-1700.
[33] Wang L, Fang M, Xia YJ,et al. Preparation and biological properties of silk fibroin/nano-hydroxyapatite/graphene oxide scaffolds with an oriented channel-like structure[J]. RSC Adv, 2020, 10(17):10118-10128.
[34] Wang J, Wang SJ, Chen Y,et al. Metal artifact reduction in CT using fusion based prior image[J]. Med Phys, 2013, 40(8):081903.
[35] Hegazy MAA, Cho MH, Cho MH, et al. U-net based metal segmentation on projection domain for metal artifact reduction in dental CT[J]. Biomed Eng Lett, 2019, 9(3):375-385.
[36] Liang KC, Zhang L, Yang HK, et al. Metal artifact reduction for practical dental computed tomography by improving interpolation-based reconstruction with deep learning[J]. Med Phys, 2019, 46(12):e823-e834.
[37] Schwendicke F, Golla T, Dreher M, et al. Convolutional neural networks for dental image diagnostics:A scoping review[J]. J Dent, 2019, 91:103226.
[38] Minnema J, van Eijnatten M, Hendriksen AA, et al. Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network[J]. Med Phys, 2019, 46(11):5027-5035.
[39] Lee D, Park C, Lim Y,et al. A metal artifact reduction method using a fully convolutional network in the sinogram and image domains for dental computed tomography[J]. J Digit Imaging, 2020, 33(2):538-546.
[40] Men K, Dai JR, Li MH,et al. A method to improve electron density measurement of cone-beam CT using dual energy technique[J]. Biomed Res Int, 2015, 2015:858907.
[41] Sajja S, Lee Y, Eriksson M, et al. Technical principles of dual-energy cone beam computed tomography and clinical applications for radiation therapy[J]. Adv Radiat Oncol, 2019, 5(1):1-16.
[42] Hegazy MAA, Eldib ME, Hernandez D, et al. Dual-energy-based metal segmentation for metal artifact reduction in dental computed tomography[J]. Medical Physics, 2018, 45(2):714-724.

Research progress on metal artifacts in oral and maxillofacial cone beam CT

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