Presentation 2023-11-14
Estimating the degree of coronary artery stenosis from non-contrast CT images using a 3D convolution model
Hiroki Shinoda, Tetsuya Asakawa, Kazuki Shimizu, Takuya Togawa, Kei Nomura, Masaki Aono,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In current medical images diagnosis, specialists take pictures of patients and search for the disease from the images. In particular, coronary angiography is used to determine coronary artery stenosis. This method is burdensome to the patient because it uses a contrast agent. Therefore, we attempt to determine coronary artery stenosis from non-contrast CT images. Then, we propose a method to classify the stenosis using a 3D convolution model (I3D). As a result of comparing the proposed method and a method using a 2D convolutional model, the proposed method showed higher performance in four metrics.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Medical image / Non-contrast CT / Coronary artery / Stenosis / QCA / I3D
Paper # MICT2023-32,MI2023-25
Date of Issue 2023-11-07 (MICT, MI)

Conference Information
Committee MI / MICT
Conference Date 2023/11/14(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Ryo Haraguchi(Univ. of Hyogo) / Hirokazu Tanaka(Hiroshima City Univ.)
Vice Chair Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) / Chika Sugimoto(Yokohama National Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.)
Secretary Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(NAIST) / Chika Sugimoto(Okayama Pref. Univ.) / Daisuke Anzai(Hiroshima City Univ)
Assistant Takeshi Hara(Gifu Univ.) / Kenichi Morooka(Okayama Univ.) / Dairoku Muramatsu(Univ. of Electro & Comm.) / Natsuki Nakayama(Nagoya Univ.) / Ami Tanaka(Ritsumeikan Univ.) / Kun Li(Kagawa Univ.)

Paper Information
Registration To Technical Committee on Medical Imaging / Technical Committee on Healthcare and Medical Information Communication Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimating the degree of coronary artery stenosis from non-contrast CT images using a 3D convolution model
Sub Title (in English) Categorical approach
Keyword(1) Medical image
Keyword(2) Non-contrast CT
Keyword(3) Coronary artery
Keyword(4) Stenosis
Keyword(5) QCA
Keyword(6) I3D
1st Author's Name Hiroki Shinoda
1st Author's Affiliation Toyohashi University of Technology(TUT)
2nd Author's Name Tetsuya Asakawa
2nd Author's Affiliation Toyohashi University of Technology(TUT)
3rd Author's Name Kazuki Shimizu
3rd Author's Affiliation Toyohashi Heart Center(Toyohashi Heart Center)
4th Author's Name Takuya Togawa
4th Author's Affiliation Toyohashi Heart Center(Toyohashi Heart Center)
5th Author's Name Kei Nomura
5th Author's Affiliation Toyohashi Heart Center(Toyohashi Heart Center)
6th Author's Name Masaki Aono
6th Author's Affiliation Toyohashi University of Technology(TUT)
Date 2023-11-14
Paper # MICT2023-32,MI2023-25
Volume (vol) vol.123
Number (no) MICT-256,MI-257
Page pp.pp.29-32(MICT), pp.29-32(MI),
#Pages 4
Date of Issue 2023-11-07 (MICT, MI)