Abstract
This paper proposes an image processing pipeline to improve the detection of vertical root fractures (VRF) in digital periapical radiographs. The pipeline is composed by three steps: geometric adjustment, Gamma correction and adaptive contrast enhancement. The proposed method was compared to the conventional pre-processing pipeline normally applied to digital radiographs. Four experienced dentists (two radiologists and two endodontists) classified a set of digital periapical images according to the presence or absence of fracture, when images were pre-processed using both methods. Inter-examiner reproducibility was verified by the weighted Kappa test. Sensitivity, specificity and accuracy were calculated along the area under the receiver operating characteristic (ROC) curve for both methods. Results indicated that the proposed method increased the specificity of radiologists by 13% and the endodontists by 4% when the proposed pipeline was used. The proposed method yielded better results on the detection of VRF in digital periapical radiography images when compared to the traditional method.
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Change history
01 October 2019
In the original version of the book, the chapter “Image Processing Pipeline to Improve the Detection of Vertical Root Fractures in Digital Periapical Radiographs” was published with a missing value in Table 3, and now the value has been added in the respective table. The correction chapter and the book have been updated.
References
Rivera, E.M., Walton, R.E.: Longitudinal tooth fractures: findings that contribute to complex endodontic diagnoses. Endod. Top. 16(1), 82–111 (2009). https://doi.org/10.1111/j.1601-1546.2009.00243.x
Lin, C.C., et al.: Horizontal/oblique root fractures in the palatal root of maxillary molars with associated periodontal destruction: case reports. Int. Endod. J. 41(5), 442–447 (2008). https://doi.org/10.1111/j.1365-2591.2007.01360.x
Kawai, K., Masaka, N.: Vertical root fracture treated by bonding fragments and rotational replantation. Dent. Traumatol. 18(1), 42–45 (2002). https://doi.org/10.1034/j.1600-9657.2002.180106.x
White, S.C., Pharoah, M.J.: Oral Radiology: Principles and Interpretation. Mosby, St. Louis (2009)
Chang, E., et al.: Cone-beam computed tomography for detecting vertical root fractures in endodontically treated teeth: a systematic review. J. Endod. 42(2), 177–185 (2016). https://doi.org/10.1016/j.joen.2015.10.005
Tsesis, I., et al.: Diagnosis of vertical root fractures in endodontically treated teeth based on clinical and radiographic indices: a systematic review. J. Endod. 36(9), 1455–1458 (2010). https://doi.org/10.1016/j.joen.2010.05.003
Ludlow, J.B., Ivanovic, M.: Comparative dosimetry of dental CBCT devices and 64-slice ct for oral and maxillofacial radiology. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. Endod. 106(1), 106–114 (2008). https://doi.org/10.1016/j.tripleo.2008.03.018
Cotton, T.P., et al.: Endodontic applications of cone-beam volumetric tomography. J. Endod. 33(9), 1121–1132 (2007). https://doi.org/10.1016/j.joen.2007.06.011
Sanders, M.A., et al.: Common orthodontic appliances cause artifacts that degrade the diagnostic quality of CBCT images. J. Calif. Dent. Assoc. 35(12), 850–857 (2007)
Watanabe, P.C.A., Arita, E.S.: Imaginologia e Radiologia Odontológica. Elsevier, Rio de Janeiro (2012)
Mikrogeorgis, G., et al.: Diagnosis of vertical root fractures in endodontically treated teeth utilising digital subtraction radiography: a case series report. Aust. Endod. J. (2017). https://doi.org/10.1111/aej.12240
Johari, M., et al.: A novel thresholding based algorithm for detection of vertical root fracture in nonendodontically treated premolar teeth. J. Med. Signals Sens. 6(2), 81–90 (2016)
Gonzales, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall, Upper Saddle River (2008)
Pizer, S.M., et al.: Adaptive histogram equalization and its variations. Comput. Vis. Graph. Image Process. 39(3), 355–368 (1987). https://doi.org/10.1016/S0734-189X(87)80186-X
Queiroz, P.M., et al.: Accuracy of digital subtraction radiography in the detection of vertical root fractures. J. Endod. 42(6), 896–899 (2016). https://doi.org/10.1016/j.joen.2016.03.003
IBM SPSS Software. https://www.ibm.com/analytics/data-science/predictive-analytics/spss-statistical-software
Cohen, J.: Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol. Bull. 70(4), 213–220 (1968)
Nascimento, H.A.R., et al.: The ‘Sharpen’ filter improves the radiographic detection of vertical root fractures. Int. Endod. J. 48(5), 428–434 (2015). https://doi.org/10.1111/iej.12331
Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159–174 (1977)
Hanley, J.A., Mcneil, B.J.: The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143(1), 29–36 (1982)
Acknowledgements
This project is supported by the Brazilian National Council for Scientific and Technological Development (CNPq) grant #457536/2014-4 and the Federal Institute of Education, Science and Technology of São Paulo (IFSP).
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Soares, L.E., Lima, K.L., Silva, L.R., Yamamoto-Silva, F.P., Vieira, M.A.C. (2019). Image Processing Pipeline to Improve the Detection of Vertical Root Fractures in Digital Periapical Radiographs. In: Costa-Felix, R., Machado, J., Alvarenga, A. (eds) XXVI Brazilian Congress on Biomedical Engineering. IFMBE Proceedings, vol 70/2. Springer, Singapore. https://doi.org/10.1007/978-981-13-2517-5_39
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DOI: https://doi.org/10.1007/978-981-13-2517-5_39
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