Mina Mahdian1, Hassan S Salehi2, Alan G Lurie3, Sumit Yadav4, Aditya Tadinada3. 1. Department of Prosthodontics and Digital Technology, Stony Brook University School of Dental Medicine, Stony Brook, NY, USA. Electronic address: Mahdianmina@gmail.com. 2. Department of Electrical and Computer Engineering, University of Hartford, West Hartford, CT, USA. 3. Division of Oral and Maxillofacial Radiology, Department of Oral Health and Diagnostic Sciences, University of Connecticut School of Dental Medicine, Farmington, CT, USA. 4. Division of Orthodontics, Department of Craniofacial Sciences, University of Connecticut School of Dental Medicine, Farmington, CT, USA.
Abstract
OBJECTIVES: To evaluate the ability of optical coherence tomography (OCT) in differentiating human oral tissues in comparison with cone beam computed tomography. STUDY DESIGN: In this study, we imaged four types of tissues ex vivo: human enamel, human cortical bone, human trabecular bone, and fatty tissue plus water and air by using OCT (Axsun Inc., Billerica, MA). We then developed a method for qualitative and quantitative analyses of the human specimens. The same types of tissues were also imaged using cone beam computed tomography, and gray-scale values were measured. RESULTS: The qualitative indices (intensity profile, contour plot, and histogram) for OCT images were able to provide information regarding surface characteristics as well as changes in tissue properties at different interfaces. The quantitative index (pixel intensity values) was also able to render information regarding the distribution and density of the pixels in different samples. A similar pattern was observed in the pixel intensity values and gray-scale values in both imaging modalities. CONCLUSIONS: Within the limitations of this ex vivo pilot study, OCT can reliably differentiate between a range of hard and soft tissues.
OBJECTIVES: To evaluate the ability of optical coherence tomography (OCT) in differentiating human oral tissues in comparison with cone beam computed tomography. STUDY DESIGN: In this study, we imaged four types of tissues ex vivo: human enamel, human cortical bone, human trabecular bone, and fatty tissue plus water and air by using OCT (Axsun Inc., Billerica, MA). We then developed a method for qualitative and quantitative analyses of the human specimens. The same types of tissues were also imaged using cone beam computed tomography, and gray-scale values were measured. RESULTS: The qualitative indices (intensity profile, contour plot, and histogram) for OCT images were able to provide information regarding surface characteristics as well as changes in tissue properties at different interfaces. The quantitative index (pixel intensity values) was also able to render information regarding the distribution and density of the pixels in different samples. A similar pattern was observed in the pixel intensity values and gray-scale values in both imaging modalities. CONCLUSIONS: Within the limitations of this ex vivo pilot study, OCT can reliably differentiate between a range of hard and soft tissues.
Authors: Jiapeng Hou; Deepak H Veeregowda; Betsy van de Belt-Gritter; Henk J Busscher; Henny C van der Mei Journal: Appl Environ Microbiol Date: 2017-12-15 Impact factor: 4.792
Authors: Monika Machoy; Julia Seeliger; Liliana Szyszka-Sommerfeld; Robert Koprowski; Tomasz Gedrange; Krzysztof Woźniak Journal: J Healthc Eng Date: 2017-07-16 Impact factor: 2.682