Automated detection of abnormalities in paranasal sinus on dental panoramic radiographs by using contralateral subtraction technique based on mandible contour

Shintaro Mori; Takeshi Hara; Motoki Tagami; Chicako Muramatsu; Takashi Kaneda; Akitoshi Katsumata; Hiroshi Fujita

doi:10.1117/12.2007820

28 February 2013 Automated detection of abnormalities in paranasal sinus on dental panoramic radiographs by using contralateral subtraction technique based on mandible contour

Shintaro Mori, Takeshi Hara, Motoki Tagami, Chicako Muramatsu, Takashi Kaneda, Akitoshi Katsumata, Hiroshi Fujita

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Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86702R (2013) https://doi.org/10.1117/12.2007820
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Inflammation in paranasal sinus sometimes becomes chronic to take long terms for the treatment. The finding is important for the early treatment, but general dentists may not recognize the findings because they focus on teeth treatments. The purpose of this study was to develop a computer-aided detection (CAD) system for the inflammation in paranasal sinus on dental panoramic radiographs (DPRs) by using the mandible contour and to demonstrate the potential usefulness of the CAD system by means of receiver operating characteristic analysis. The detection scheme consists of 3 steps: 1) Contour extraction of mandible, 2) Contralateral subtraction, and 3) Automated detection. The Canny operator and active contour model were applied to extract the edge at the first step. At the subtraction step, the right region of the extracted contour image was flipped to compare with the left region. Mutual information between two selected regions was obtained to estimate the shift parameters of image registration. The subtraction images were generated based on the shift parameter. Rectangle regions of left and right paranasal sinus on the subtraction image were determined based on the size of mandible. The abnormal side of the regions was determined by taking the difference between the averages of each region. Thirteen readers were responded to all cases without and with the automated results. The averaged AUC of all readers was increased from 0.69 to 0.73 with statistical significance (p=0.032) when the automated detection results were provided. In conclusion, the automated detection method based on contralateral subtraction technique improves readers' interpretation performance of inflammation in paranasal sinus on DPRs.

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Shintaro Mori, Takeshi Hara, Motoki Tagami, Chicako Muramatsu, Takashi Kaneda, Akitoshi Katsumata, and Hiroshi Fujita "Automated detection of abnormalities in paranasal sinus on dental panoramic radiographs by using contralateral subtraction technique based on mandible contour", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86702R (28 February 2013); https://doi.org/10.1117/12.2007820

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KEYWORDS

Inflammation

Panoramic photography

Radiography

Image registration

Computer aided design

CAD systems

Teeth

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