Presentation 2018-03-20
A preliminary study on organ region localization using regression CNN
Natsuki Shimizu, Masahiro Oda, Holger R. Roth, Yuichiro Hayashi, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, three dimensional CT volumes are widely used in treatment and diagnosis. Development of a computer-aided diagnosis (CAD) system that supports medical doctor's diagnosis is greatly expected. CAD systems need accurate automatic organ recognition from CT volumes. In this study, we propose a method for organ region localization using a CNN regression framework. CNN enables us to estimate position based on automatically designed feature values. 2D patches are clipped from CT volumes on axial, coronal, sagittal planes and combined to generate a patch. Offsets from the center of cropped patches to the bounding box is calculated as target values. Patches are given to CNN and differences between output values and the offsets is used as a loss. Weights of the network is determined to minimize the loss. Experiments were performed on 147 CT volumes and evaluated using the two-fold cross-validation method. Experimental results demonstrated that the mean errors of bounding box estimation of the proposed method was 9.2 mm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) CT volume / localization / deep learning
Paper # MI2017-89
Date of Issue 2018-03-12 (MI)

Conference Information
Committee SIP / EA / SP / MI
Conference Date 2018/3/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI]
Chair Masahiro Okuda(Univ. of Kitakyushu) / Suehiro Shimauchi(NTT) / Yoichi Yamashita(Ritsumeikan Univ.) / Kensaku Mori(Nagoya Univ.)
Vice Chair Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Mitsunori Mizumachi(Kyutech) / Hiroki Mori(Utsunomiya Univ.) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.)
Secretary Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Mitsunori Mizumachi(Akita Pref. Univ.) / Hiroki Mori(Shizuoka Inst. of Science and Tech.) / Yoshiki Kawata(Shizuoka Univ.) / Yuichi Kimura(Meijo Univ.)
Assistant Masayoshi Nakamoto(Hiroshima Univ.ひろ) / TREVINO Jorge(Tohoku Univ.) / Nobutaka Ito(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.)

Paper Information
Registration To Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics / Technical Committee on Speech / Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A preliminary study on organ region localization using regression CNN
Sub Title (in English)
Keyword(1) CT volume
Keyword(2) localization
Keyword(3) deep learning
1st Author's Name Natsuki Shimizu
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Masahiro Oda
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Holger R. Roth
3rd Author's Affiliation Nagoya University(Nagoya Univ.)
4th Author's Name Yuichiro Hayashi
4th Author's Affiliation Nagoya University(Nagoya Univ.)
5th Author's Name Kazunari Misawa
5th Author's Affiliation Aichi Cancer Center Hospital(Aichi Cancer Center Hospital)
6th Author's Name Michitaka Fujiwara
6th Author's Affiliation Nagoya University(Nagoya Univ.)
7th Author's Name Kensaku Mori
7th Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2018-03-20
Paper # MI2017-89
Volume (vol) vol.117
Number (no) MI-518
Page pp.pp.81-86(MI),
#Pages 6
Date of Issue 2018-03-12 (MI)