@inproceedings{ce3cdf16bcda4f6791566acfa141cf72,
title = "Automatic quantification framework to detect cracks in teeth",
abstract = "Studies show that cracked teeth are the third most common cause for tooth loss in industrialized countries. If detected early and accurately, patients can retain their teeth for a longer time. Most cracks are not detected early because of the discontinuous symptoms and lack of good diagnostic tools. Currently used imaging modalities like Cone Beam Computed Tomography (CBCT) and intraoral radiography often have low sensitivity and do not show cracks clearly. This paper introduces a novel method that can detect, quantify, and localize cracks automatically in high resolution CBCT (hr-CBCT) scans of teeth using steerable wavelets and learning methods. These initial results were created using hr-CBCT scans of a set of healthy teeth and of teeth with simulated longitudinal cracks. The cracks were simulated using multiple orientations. The crack detection was trained on the most significant wavelet coefficients at each scale using a bagged classifier of Support Vector Machines. Our results show high discriminative specificity and sensitivity of this method. The framework aims to be automatic, reproducible, and open-source. Future work will focus on the clinical validation of the proposed techniques on different types of cracks ex-vivo. We believe that this work will ultimately lead to improved tracking and detection of cracks allowing for longer lasting healthy teeth.",
keywords = "High-resolution Cone Beam Computed Tomography, Machine learning, Tooth fracture detection, Wavelet analysis",
author = "Hina Shah and Pablo Hernandez and Francois Budin and Deepak Chittajallu and Vimort, {Jean Baptiste} and Rick Walters and Andr{\'e} Mol and Asma Khan and Beatriz Paniagua",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 11-02-2018 Through 13-02-2018",
year = "2018",
doi = "10.1117/12.2293603",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Barjor Gimi and Andrzej Krol",
booktitle = "Medical Imaging 2018",
}