Application of Machine Learning for Nondestructive Measurement of Oral Implants
LI Chen1，ZHANG Jiawei1，QI Shouliang1，WANG Danning2
1. College of Medicine and Biological Information Engineering, Northeastern University, Shenyang Liaoning 110819, China丨
2. School of Stomatology, China Medical University, Shenyang Liaoning 110122, China
Abstract：Objective Introduce a non-destructive measuring method for oral implants features, in order to solve the problem that the
implants specification cannot be determined when the patient’s file is lost. It also provides a method and idea for the non-destructive
measurement of various implants (such as bone nail, bone plate, etc.). Methods First, segmentation threshold, morphological
processing and morphological segmentation were used for preprocessing. Then, GLCM and HOG were used to represent the
characteristics of implants. And the RBFSVM with the best classification performance was selected to detect the position of the oral
implants after comparing 8 efficient classifiers. Finally, calculate the physical size of the implants based on the result and achieved
the nondestructive measurement of oral implants. Results A total of 420 images were used in this project, and the average error
between the results and the actual size of implants was less than 2%. Conclusion It shows a good measurement accuracy that can
help doctors to determine the specification of the implants in the patient’s mouth.
李晨1，张家伟1，齐守良1，王丹宁2. 机器学习在口腔植入体无损测量中的应用[J]. 中国医疗设备, 2021, 36(3): 38-43.
LI Chen1，ZHANG Jiawei1，QI Shouliang1，WANG Danning2. Application of Machine Learning for Nondestructive Measurement of Oral Implants. China Medical Devices, 2021, 36(3): 38-43.
