| Presentation | 2019-01-22 Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing Morio Kawabe, Yuri Kokura, Takashi Ohnishi, Hideyuki Kato, Yoshihiko Ooka, Tomoya Sakai, Hideaki Haneishi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Robust principal component analysis (RPCA) can extract vessel information from consecutive digital angiographic images. However, standard RPCA also provided artifacts around vessel regions whose contrast was low. Although RPCA was improved by additional restriction terms, processing time increased. In this study, we accelerated the improved PRCA for clinical application. The accelerated PRCA could generate vessel extraction image within about 10 seconds whereas conventional environment required more than 3 hours. The difference between generated images by both environments was evaluated and we confirmed that no significant difference was observed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | X-ray image / Angiographic image / RPCA / Parallel processing |
| Paper # | MI2018-59 |
| Date of Issue | 2019-01-15 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2019/1/22(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Chair | Kensaku Mori(Nagoya Univ.) |
| Vice Chair | Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) |
| Secretary | Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) |
| Assistant | Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Acceleration of angiographic region enhancement based on robust principal component analysis using parallel processing |
| Sub Title (in English) | |
| Keyword(1) | X-ray image |
| Keyword(2) | Angiographic image |
| Keyword(3) | RPCA |
| Keyword(4) | Parallel processing |
| 1st Author's Name | Morio Kawabe |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Yuri Kokura |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Takashi Ohnishi |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| 4th Author's Name | Hideyuki Kato |
| 4th Author's Affiliation | Chiba University(Chiba Univ.) |
| 5th Author's Name | Yoshihiko Ooka |
| 5th Author's Affiliation | Chiba University(Chiba Univ.) |
| 6th Author's Name | Tomoya Sakai |
| 6th Author's Affiliation | Nagasaki University(Nagasaki Univ.) |
| 7th Author's Name | Hideaki Haneishi |
| 7th Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2019-01-22 |
| Paper # | MI2018-59 |
| Volume (vol) | vol.118 |
| Number (no) | MI-412 |
| Page | pp.pp.1-4(MI), |
| #Pages | 4 |
| Date of Issue | 2019-01-15 (MI) |