Presentation 2020-01-29
Tooth detection based on relation of teeth with Relation Module on dental Cone-beam CT
Shota Kutsuna, Chisako Muramatsu, Ryo Takahashi, Tatsuro Hayashi, Xiangrong Zhor, Wataru nishiyama, Yoshiko Ariji, Takeshi Hara, Akitoshi Katsumata, Eichiro Ariji, Hiroshi Fujita,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, image diagnosis using dental panoramic X-ray images and dental cone-beam CT (CBCT) is widely used in dental treatment. CBCT accurately represents the anatomical information and is used for diagnosis and treatment planning. In this study, we aim to automatically recognize teeth to assist doctors in interpretation. The order of the dentition is an important information for recognizing the tooth type. Therefore, we consider the relation module that takes into account the relationship between objects is effective for this study. Based on the features extracted from the input images by using CNN, the relation module outputs the box regression results and their tooth types. Using 84 cases, we evaluated the detection performance by cross-validation. As a result, the high detection rate over 90% was obtained.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Dental CT / Deep Learning / Object Detection
Paper # MI2019-82
Date of Issue 2020-01-22 (MI)

Conference Information
Committee MI
Conference Date 2020/1/29(2days)
Place (in Japanese) (See Japanese page)
Place (in English) OKINAWAKEN SEINENKAIKAN
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc.
Chair Yoshiki Kawata(Tokushima Univ.)
Vice Chair Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.)
Secretary Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo)
Assistant Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST)

Paper Information
Registration To Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Tooth detection based on relation of teeth with Relation Module on dental Cone-beam CT
Sub Title (in English)
Keyword(1) Dental CT
Keyword(2) Deep Learning
Keyword(3) Object Detection
1st Author's Name Shota Kutsuna
1st Author's Affiliation Gifu University(Gifu Univ.)
2nd Author's Name Chisako Muramatsu
2nd Author's Affiliation Shiga University(Shiga Univ.)
3rd Author's Name Ryo Takahashi
3rd Author's Affiliation Media CO., Ltd.(Media CO., Ltd.)
4th Author's Name Tatsuro Hayashi
4th Author's Affiliation Media CO., Ltd.(Media CO., Ltd.)
5th Author's Name Xiangrong Zhor
5th Author's Affiliation Gifu University(Gifu Univ.)
6th Author's Name Wataru nishiyama
6th Author's Affiliation Asahi University(Asashi Univ.)
7th Author's Name Yoshiko Ariji
7th Author's Affiliation Aichi-Gakuin University(Aichi-Gakuin Univ.)
8th Author's Name Takeshi Hara
8th Author's Affiliation Gifu University(Gifu Univ.)
9th Author's Name Akitoshi Katsumata
9th Author's Affiliation Asahi University(Asashi Univ.)
10th Author's Name Eichiro Ariji
10th Author's Affiliation Aichi-Gakuin University(Aichi-Gakuin Univ.)
11th Author's Name Hiroshi Fujita
11th Author's Affiliation Gifu University(Gifu Univ.)
Date 2020-01-29
Paper # MI2019-82
Volume (vol) vol.119
Number (no) MI-399
Page pp.pp.75-76(MI),
#Pages 2
Date of Issue 2020-01-22 (MI)