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Proceedings Paper

Automatic detection of apical roots in oral radiographs
Author(s): Yi Wu; Fangfang Xie; Jie Yang; Erkang Cheng; Vasileios Megalooikonomou; Haibin Ling
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Paper Abstract

The apical root regions play an important role in analysis and diagnosis of many oral diseases. Automatic detection of such regions is consequently the first step toward computer-aided diagnosis of these diseases. In this paper we propose an automatic method for periapical root region detection by using the state-of-theart machine learning approaches. Specifically, we have adapted the AdaBoost classifier for apical root detection. One challenge in the task is the lack of training cases especially for diseased ones. To handle this problem, we boost the training set by including more root regions that are close to the annotated ones and decompose the original images to randomly generate negative samples. Based on these training samples, the Adaboost algorithm in combination with Haar wavelets is utilized in this task to train an apical root detector. The learned detector usually generates a large amount of true and false positives. In order to reduce the number of false positives, a confidence score for each candidate detection result is calculated for further purification. We first merge the detected regions by combining tightly overlapped detected candidate regions and then we use the confidence scores from the Adaboost detector to eliminate the false positives. The proposed method is evaluated on a dataset containing 39 annotated digitized oral X-Ray images from 21 patients. The experimental results show that our approach can achieve promising detection accuracy.

Paper Details

Date Published: 23 February 2012
PDF: 8 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83152M (23 February 2012); doi: 10.1117/12.911743
Show Author Affiliations
Yi Wu, Nanjing Univ. of Information Science and Technology (China)
Ctr. for Data Analytics and Biomedical Informatics, Temple Univ. (United States)
Fangfang Xie, Kornberg School of Dentistry ,Temple Univ. (United States)
Jie Yang, Kornberg School of Dentistry ,Temple Univ. (United States)
Erkang Cheng, Ctr. for Data Analytics and Biomedical Informatics, Temple Univ. (United States)
Vasileios Megalooikonomou, Ctr. for Data Analytics and Biomedical Informatics, Temple Univ. (United States)
Data Engineering Lab. (DenLab), Temple Univ. (United States)
Haibin Ling, Ctr. for Data Analytics and Biomedical Informatics, Temple Univ. (United States)


Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)

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