| Presentation | 2022-05-20 Application of LambdaNetwork learning long-range interactions between pixels to metal artifact detection Daisuke Shigemori, Megumi Nakao, Tetsuya Matsuda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Although deep learning-based image transformation has been attempted to be applied to metal artifact reduction, feature extraction based on the relationship between distant pixels is considered to be more effective in detecting artifacts that exist over a wide area. In this study, metal artifact detection was performed using a region extraction model applying a LambdaNetwork. A quantitative evaluation of detection accuracy was attempted by creating a dataset containing labeled images showing areas affected by artifacts. The detection accuracy of the proposed method and conventional methods are compared, and the effectiveness of the LambdaNetwork is verified. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self-Attention / U-net / Metal artifact detection |
| Paper # | SIP2022-27,BioX2022-27,IE2022-27,MI2022-27 |
| Date of Issue | 2022-05-12 (SIP, BioX, IE, MI) |
| Conference Information | |
| Committee | SIP / BioX / IE / MI / ITE-IST / ITE-ME |
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| Conference Date | 2022/5/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kumamoto University Kurokami Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yukihiro Bandou(NTT) / Hitoshi Imaoka(NEC) / Kazuya Kodama(NII) / Hidekata Hontani(Nagoya Inst. of Tech.) |
| Vice Chair | Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(SECOM) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) |
| Secretary | Toshihisa Tanaka(Xiaomi) / Takayuki Nakachi(Takushoku Univ.) / Masatsugu Ichino(Tokyo Univ. Agri.&Tech.) / Naoyuki Takada(KDDI Research) / Hiroyuki Bandoh(MitsubishiElectric) / Toshihiko Yamazaki(KDDI Research) / Hideaki Haneishi(Nagoya Inst. of Tech.) / Takayuki Kitasaka(Yamaguchi Univ.) / (Univ. of Hyogo) |
| Assistant | Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) / Hiroyuki Suzuki(Gunma Univ) / Akihiro Hayasaka(NEC) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Signal Processing / Technical Committee on Biometrics / Technical Committee on Image Engineering / Technical Committee on Medical Imaging / Technical Group on Information Sensing Technologies / Technical Group on Media Engineering |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of LambdaNetwork learning long-range interactions between pixels to metal artifact detection |
| Sub Title (in English) | |
| Keyword(1) | Self-Attention |
| Keyword(2) | U-net |
| Keyword(3) | Metal artifact detection |
| 1st Author's Name | Daisuke Shigemori |
| 1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 2nd Author's Name | Megumi Nakao |
| 2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 3rd Author's Name | Tetsuya Matsuda |
| 3rd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| Date | 2022-05-20 |
| Paper # | SIP2022-27,BioX2022-27,IE2022-27,MI2022-27 |
| Volume (vol) | vol.122 |
| Number (no) | SIP-28,BioX-29,IE-30,MI-31 |
| Page | pp.pp.138-143(SIP), pp.138-143(BioX), pp.138-143(IE), pp.138-143(MI), |
| #Pages | 6 |
| Date of Issue | 2022-05-12 (SIP, BioX, IE, MI) |