| Presentation | 2023-11-14 Improving image quality of sparse-view micro-CT using Wasserstein GAN Naoki Ikezawa, Takayuki Okamoto, Hideaki Haneishi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Applications of micro-CT in pathology and histology have been studied in recent years, and we need to shorten the scanning time to increase the efficiency of the examination. Sparse-view CT enables us to reduce the scanning time, on the other hand, it causes a degradation in the quality of reconstructed images. We have proposed an interpolation method of projection data sampled by sparse-view scan using a convolutional neural network and enabled to improve the image quality of sparse-view micro-CT images. In this study, we aim to further increase the image quality using a generative adversarial network that can consider the perceptual quality of images. As a result of the experiment using real data, we can obtain sharper CT images than the result by training only a generator. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | micro-CT / sparse-view / generative adversarial network / Wasserstein GAN / image reconstruction |
| Paper # | MICT2023-36,MI2023-29 |
| Date of Issue | 2023-11-07 (MICT, MI) |
| Conference Information | |
| Committee | MI / MICT |
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| 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 |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improving image quality of sparse-view micro-CT using Wasserstein GAN |
| Sub Title (in English) | |
| Keyword(1) | micro-CT |
| Keyword(2) | sparse-view |
| Keyword(3) | generative adversarial network |
| Keyword(4) | Wasserstein GAN |
| Keyword(5) | image reconstruction |
| 1st Author's Name | Naoki Ikezawa |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Takayuki Okamoto |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Hideaki Haneishi |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2023-11-14 |
| Paper # | MICT2023-36,MI2023-29 |
| Volume (vol) | vol.123 |
| Number (no) | MICT-256,MI-257 |
| Page | pp.pp.45-47(MICT), pp.45-47(MI), |
| #Pages | 3 |
| Date of Issue | 2023-11-07 (MICT, MI) |