Periodontal Disease Assessed by High Frequency Ultrasonic Backscattered Signals and Statistical Parameter

Abstract

Periodontal diseases are very common and can affect up to 90% of the worldwide population Some acute diseases have also been associated with periodontal diseases Dental radiography and the periodontal probe are the most popular ways nowadays to diagnose periodontal disease but the irradiation of radiography and the pain with examination of periodontal probe are annoying issues It is necessary to develop a new diagnosis method with properties of non-ionization and painless examination to assess the periodontal disease This study proposed a 70 MHz high-frequency ultrasound imaging system for measuring the depth of gingival sulcus and the tissue properties of gingiva A plastic dental model was embedded in a tissue-mimicking phantom to be used to verify the ultrasound imaging system Subsequently the rat model for periodontal disease was achieved by ligature-induced The phantom and gingival tissue were scanned by the ultrasonic transducer to acquire ultrasonic signals By detecting every continuous B-mode image the depth of gingival sulcus can be calculated The degrees of periodontal disease were related to ultrasonic parameters Integrated backscatter and Nakagami parameter were calculated from ultrasound image inside region of interest (ROI) respectively The results of depth which were calculating by algorithm of automatically detecting gingival sulcus and periodontal probe show that calculating the depth of gingival sulcus by B-mode image is an feasible way to measurement After ligature-induced gingivitis in rats the results show that the thickness of gingival Nakagami parameter and integrated backscatter were different from the control group The difference between normal thickness of gingival and swelling thickness of gingival can also be seen on B-mode image This study demonstrated that the 70 MHz high-frequency ultrasound imaging system which could be used to analyze the periodontal disease by measuring the depth of gingival sulcus and ultrasonic quantitative parameters

Date of Award	2016 Aug 23
Original language	English
Supervisor	Shyh-Hau Wang (Supervisor)