| Presentation | 2018-03-19 Super-resolution of MRI images using SRCNN and its Evaluation Hikaru Niida, Kiminori Matsuzaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Super-resolution using deep convolutional neural networks (SRCNN) was proposed by Dong et al. in 2014. SRCNN has also been applied to medical images such as X-ray images. Though the effectiveness of SRCNN has been demonstrated for natural images and X-ray images, it remains unclear for images with a large amount of noise. In this study, we evaluated the feasibility of SRCNN for MRI images that often have a large amount of noise. We applied SRCNN to MRI images, for which a certain amount of noise was added artificially, and confirmed that SRCNN successfully generated high-PSNR images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Super-resolution / SRCNN / MRI images |
| Paper # | MI2017-63 |
| Date of Issue | 2018-03-12 (MI) |
| Conference Information | |
| Committee | SIP / EA / SP / MI |
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| 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 |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Super-resolution of MRI images using SRCNN and its Evaluation |
| Sub Title (in English) | |
| Keyword(1) | Super-resolution |
| Keyword(2) | SRCNN |
| Keyword(3) | MRI images |
| 1st Author's Name | Hikaru Niida |
| 1st Author's Affiliation | Kochi University of Technology(Kochi Univ. of Tech.) |
| 2nd Author's Name | Kiminori Matsuzaki |
| 2nd Author's Affiliation | Kochi University of Technology(Kochi Univ. of Tech.) |
| Date | 2018-03-19 |
| Paper # | MI2017-63 |
| Volume (vol) | vol.117 |
| Number (no) | MI-518 |
| Page | pp.pp.1-4(MI), |
| #Pages | 4 |
| Date of Issue | 2018-03-12 (MI) |