Rahmi-Fajrin H, Puspita S, Riyadi S, Sofiani E. Dental radiography image enhancement for treatment evaluation through digital image processing. J Clin Exp Dent. 2018;10(7):e629-634.

 

doi:10.4317/jced.54607

http://dx.doi.org/doi:10.4317/jced.54607

 

References

1. Lin PL, Huang PY, Huang PW. Automatic methods for alveolar bone loss degree measurement in periodontitis periapical radiographs. Comput Methods Programs Biomed. 2017;148:1–11.
https://doi.org/10.1016/j.cmpb.2017.06.012
PMid:28774432

 

2. Mastrogiacomo S, Güvener N, Dou W, Alghamdi HS, Camargo WA, Cremers JGO, et al. A theranostic dental pulp capping agent with improved MRI and CT contrast and biological properties. Acta Biomater at ScienceDirect. 2017;62:340–51.
https://doi.org/10.1016/j.actbio.2017.08.018
PMid:28842333

 

3. Izawa M, Harata Y, Shiba N, Koizumi N. Establishment of local diagnostic reference levels for quality control in intraoral radiography. Oral Radiol. 2017;33:38–44.
https://doi.org/10.1007/s11282-016-0245-9

PMid:28111498 PMCid:PMC5216092

 

4. Barngkgei I, Halboub E, Almashraqi AA, Khattab R, Al Haffar I. IDIOS: An innovative index for evaluating dental imaging-based osteoporosis screening indices. Imaging Sci Dent. 2016;46:185–202.
https://doi.org/10.5624/isd.2016.46.3.185
PMid:27672615 PMCid:PMC5035724

 

5. Lipski M, Nowicka A, Kot K, Postek-Stefańska L, Wysoczańska-Jankowicz I, Borkowski L, et al. Factors affecting the outcomes of direct pulp capping using Biodentine. Clin Oral Investig. 2018;22:2021-2029.
https://doi.org/10.1007/s00784-017-2296-7

PMid: 29234957 PMCid: PMC5945752.

 

6. Choi JWHan WJKim EK. Image enhancement of digital periapical radiographs according to diagnostic tasks. Imaging Sci Dent. 2014;44:31–5.
https://doi.org/10.5624/isd.2014.44.1.31
PMid:24701456 PMCid:PMC3972403

 

7. Li G, Engström PE, Welander U. Measurement accuracy of marginal bone level in digital radiographs with and without color coding. Acta Odontol Scand. 2007;65:254-8.
https://doi.org/10.1080/00016350701452089
PMid:18092199

 

8. Li G, Yoshiura K, Welander U, Shi XQ, McDavid WD. Detection of approximal caries in digital radiographs before and after correction for attenuation and visual response. An in vitro study. Dentomaxillofac Radiol. 2002;31:113-6.
https://doi.org/10.1038/sj.dmfr.4600675
PMid:12076051

 

9. Shah N, Bansal N, Logani A. Recent advances in imaging technologies in dentistry. World J Radiol. 2014;6:794-807.
https://doi.org/10.4329/wjr.v6.i10.794
PMid:25349663 PMCid:PMC4209425

 

10. Huang GT. Pulp and dentin tissue engineering and regeneration: current progress. Regen med-PMC. 2010;45:697–707.

PMid:19761395 PMCid:PMC2785543

 

11. Baghaie A, Yu Z, Analysis IC, Reduction S. Application of Independent Component Analysis Techniques in Speckle Noise Reduction of Retinal OCT Images. Optik (Stuttg). 2017;127:5783–91.
https://doi.org/10.1016/j.ijleo.2016.03.078
PMid:27667860 PMCid:PMC5033256

 

12. Shim J, Yoon M, Lee Y. Feasibility of newly designed fast non local means (FNLM)-based noise reduction filter for X-ray imaging: A simulation study. Optik. 2018;160:124–30.
https://doi.org/10.1016/j.ijleo.2018.01.101

 

13. He LF, Chao YY, Suzuki K. An Algorithm for Connected-Component Labeling, Hole Labeling and Euler Number Computing. J Comput Sci Technol. 2013;28:468–78.

https://doi.org/10.1007/s11390-013-1348-y

 

14. Hong Zhang, Yuecheng Li, Hao Chen, Ding Yuan and MS. Perceptual Contrast Enhancement with Dynamic Range Adjustment. Optik (Stuttg). 2013;124:1–22.
https://doi.org/10.1016/j.ijleo.2013.04.046

PMid:24339452 PMCid:PMC3856904

 

15. Lee MS, Park CH, Kang MG. Edge enhancement algorithm for low-dose X-ray fluoroscopic imaging. Comput Methods Programs Biomed. 2017;152:45–52.

https://doi.org/10.1016/j.cmpb.2017.09.010
PMid:29054260

 

16. Castellino R a. Computer aided detection (CAD): an overview. Cancer imaging : the official publication of the International Cancer Imaging Society. 2005;5:17–9.

https://doi.org/10.1102/1470-7330.2005.0018
PMid:16154813 PMCid:PMC1665219

 

17. Siti Arpah Ahmad, M. N. T., Noor Elaiza Abdul Khalid HT. An Analysis of Image Enhancement Techniques for Dental X-ray Image Interpretation. Int J Mach Learn Comput. 2012;2:292–7.
https://doi.org/10.7763/IJMLC.2012.V2.133

 

18. Cho SY, Seo DG, Lee SJ, Lee J, Lee SJ, Jung IY. Prognostic factors for clinical outcomes according to time after direct pulp capping. J Endod. 2013;39:327-31.
https://doi.org/10.1016/j.joen.2012.11.034
PMid:23402502

 

19. H. Yoshida, M. Tsuji HM. An electrical method for examining remaining dentine thickness. J Dent. 1989;17:284–6.
https://doi.org/10.1016/0300-5712(89)90038-9

PMid:2607023

 

20. R JVCI, Tanchenko A. Visual-PSNR measure of image quality. J Vis Commun Image Represent. Elsevier Inc.; 2014;25:874–8.
https://doi.org/10.1016/j.jvcir.2014.01.008

 

21. Puspita S, Utoro T HT. Nestin expressions of exposed pulp after direct pulp capping by calcium hydroxide and platelet rich plasma. Eur J Dent. 2016;10:341.
https://doi.org/10.4103/1305-7456.184157
PMid:27403050 PMCid:PMC4926585

 

22. Shi XQ LG. Detection accuracy of approximal caries by black-and-white and color- coded digital radiographs. Oral Med Oral Pathol Oral Radiol Endod. 2009;107:433–6.
https://doi.org/10.1016/j.tripleo.2008.07.008
PMid:18835533

 

23. Abril-gonzalez M, Jaramillo-mejia MC. Standard Health Level Seven for Odontological Digital Imaging Mauricio. Telemed E Health. 2017;22:63–70.
https://doi.org/10.1089/tmj.2015.0251
PMid:27248059 PMCid:PMC5240002

 

24. Tran XV, Chaussain C, Rouzet F, Vital SO. Pulp Cell Tracking by Radionuclide Imaging. Tissue Eng. 2014;20:188–97.
https://doi.org/10.1089/ten.tec.2013.0148
PMid:23789732 PMCid:PMC3936500

 

25. Miyashita H, Hv W, Qualtrough A, Plasschaert A. No definitive conclusion as to the most effective method of pulp treatment of asymptomatic carious teeth: How effective are the different pulp management techniques used to treat asymptomatic carious teeth and maintain pulp vitality ? Restorative Dent. 2007;2:76–7.

 

26. Asgary S, Fazlyab M, Sabbagh S, Eghbal MJ, Report C, Treatment E, et al. Outcomes of Different Vital Pulp Therapy Techniques on Symptomatic Permanent Teeth: A Case Series. Iran Endod J. 2014;9:295–300.
PMid:25386213 PMCid:PMC4224770

 

27. Maria K, Toubes S De, Alves P, Oliveira D De, Nicácio S. Clinical Approach to Pulp Canal Obliteration: A Case Series. Iran Endod J. 2017;12:527–33.

PMid:29225654 PMCid:PMC5722103

 

28. Falk Schwendicke MS. Direct Pulp Capping after a Carious Exposure Versus Root Canal Treatment: A Cost-effectiveness. J Endod. 2014;40:1764–70.
https://doi.org/10.1016/j.joen.2014.07.028
PMid:25218524

 

29. Ahmad S. Al-Hiyasat, Kefah M. Barrieshi-Nusair MAA-O. The radiographic outcomes of direct pulp-capping procedures performed by dental students: A retrospective study. J Am Dent Assoc. 2006;137:1699–705.
https://doi.org/10.14219/jada.archive.2006.0116

PMid:17138715

 

30. Asgary S, Hassanizadeh R, Torabzadeh H, Eghbal MJ. Treatment Outcomes of 4 Vital Pulp Therapies in Mature Molars. J Endod. Elsevier. 2018;44:529-535.

https://doi.org/10.1016/j.joen.2017.12.010

PMid:29397215

 

31. Nowicka A, Ryta A, Lipski M, Parafiniuk MB, Grocholewicz K, Sobolewska E, et al. Clinical and Histological Evaluation of Direct Pulp Capping on Human Pulp Tissue Using a Dentin Adhesive System. BioMed Res Int. Hindawi Publishing Corporation. 2016;2016:2591273.

PMid:27803922 PMCid:PMC5075585

 

32. Najeeb S, Khurshid Z, Sohail M, Zohaib S, Siddiqui F. Efficacy of Enamel Matrix Derivative in Vital Pulp Therapy : A Review of Literature. Iran Endod J. 2017;12:269–75.
PMid:28808449 PMCid:PMC5527198