Computer-aided recognition of dental implants in X-ray images

Pedro Morais; Sandro Queirós; António H. J. Moreira; Adriano Ferreira; Ernesto Ferreira; Duarte Duque; Nuno F. Rodrigues; João L. Vilaça

doi:10.1117/12.2082796

20 March 2015 Computer-aided recognition of dental implants in X-ray images

Pedro Morais, Sandro Queirós, António H. J. Moreira, Adriano Ferreira, Ernesto Ferreira, Duarte Duque, Nuno F. Rodrigues, João L. Vilaça

Author Affiliations +

Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 94142E (2015) https://doi.org/10.1117/12.2082796
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Dental implant recognition in patients without available records is a time-consuming and not straightforward task. The traditional method is a complete user-dependent process, where the expert compares a 2D X-ray image of the dental implant with a generic database. Due to the high number of implants available and the similarity between them, automatic/semi-automatic frameworks to aide implant model detection are essential. In this study, a novel computer-aided framework for dental implant recognition is suggested. The proposed method relies on image processing concepts, namely: (i) a segmentation strategy for semi-automatic implant delineation; and (ii) a machine learning approach for implant model recognition. Although the segmentation technique is the main focus of the current study, preliminary details of the machine learning approach are also reported. Two different scenarios are used to validate the framework: (1) comparison of the semi-automatic contours against implant’s manual contours of 125 X-ray images; and (2) classification of 11 known implants using a large reference database of 601 implants. Regarding experiment 1, 0.97±0.01, 2.24±0.85 pixels and 11.12±6 pixels of dice metric, mean absolute distance and Hausdorff distance were obtained, respectively. In experiment 2, 91% of the implants were successfully recognized while reducing the reference database to 5% of its original size. Overall, the segmentation technique achieved accurate implant contours. Although the preliminary classification results prove the concept of the current work, more features and an extended database should be used in a future work.

Citation Download Citation

Pedro Morais, Sandro Queirós, António H. J. Moreira, Adriano Ferreira, Ernesto Ferreira, Duarte Duque, Nuno F. Rodrigues, and João L. Vilaça "Computer-aided recognition of dental implants in X-ray images", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94142E (20 March 2015); https://doi.org/10.1117/12.2082796

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available