| Presentation | 2020-01-25 Fundamental study of extracardiac accumulation using Deep learning in myocardial perfusion SPECT Yuto Homma, Akihiro kikuchi, Masataka kitama, Keiichi Oda, Koki Okada, Takashi Kawakami, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | [Purpose] The purpose of this study is to evaluate and evaluate digital phantoms using deep learning techniques to remove extracardiac accumulation in myocardial perfusion SPECT. [Methods] Phantom creation and SPECT collection were performed using digital phantom creation software (X-CAT) and software (SIMIND) capable of collecting the data on a PC. From the created projection data, 60 cross-sectional images were created and segmentation of the myocardium, liver, and intestine was performed. These cross-sectional images were trained in a deep learning system as teacher data, extracardiac accumulation was removed by the system, and only the extraction of myocardium was attempted. The evaluation method was to create a Circumferential Profile curve, and the effects of extracardiac accumulation were evaluated. The deep learning system used was developed through joint research. [Results] By learning and evaluating with a digital phantom, extracardiac accumulation was removed and myocardium could be extracted in pixel units. Conclusion: This study suggests that the effects of extracardiac accumulation on myocardial perfusion SPECT examination can be reduced. However, there is a shortage of teacher data and a problem of extraction accuracy due to segmentation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | myocardial perfusion SPECT / Deep Learning / digital phantom / XCAT / SIMIND / segmentation |
| Paper # | MICT2019-41,MBE2019-70 |
| Date of Issue | 2020-01-18 (MICT, MBE) |
| Conference Information | |
| Committee | MBE / MICT |
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| Conference Date | 2020/1/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KKR Hotel Kumamoto |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Taishin Nomura(Osaka Univ.) / Shinsuke Hara(Osaka City Univ.) |
| Vice Chair | Takashi Watanabe(Tohoku Univ.) / Eisuke Hanada(Saga Univ.) / Chika Sugimoto(Yokohama National Univ.) |
| Secretary | Takashi Watanabe(Kyushu Univ.) / Eisuke Hanada(Nagoya Inst. of Tech.) / Chika Sugimoto(Kobe Univ.) |
| Assistant | Yasuyuki Suzuki(Osaka Univ.) / Akihiro Karashima(Tohoku Inst. of Tech.) / Takumi Kobayashi(Yokohama National Univ.) / Keita Saku(Kyushu Univ.) / Kai Ishida(NICT) / Kento Takabayashi(Okayama Pref. Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / 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) | Fundamental study of extracardiac accumulation using Deep learning in myocardial perfusion SPECT |
| Sub Title (in English) | Evaluation using a digital phantom |
| Keyword(1) | myocardial perfusion SPECT |
| Keyword(2) | Deep Learning |
| Keyword(3) | digital phantom |
| Keyword(4) | XCAT |
| Keyword(5) | SIMIND |
| Keyword(6) | segmentation |
| 1st Author's Name | Yuto Homma |
| 1st Author's Affiliation | Hokkaido University of Science(Hokkaido University of Science) |
| 2nd Author's Name | Akihiro kikuchi |
| 2nd Author's Affiliation | Hokkaido University of Science(Hokkaido University of Science) |
| 3rd Author's Name | Masataka kitama |
| 3rd Author's Affiliation | Hokkaido University of Science(Hokkaido University of Science) |
| 4th Author's Name | Keiichi Oda |
| 4th Author's Affiliation | Hokkaido University of Science(Hokkaido University of Science) |
| 5th Author's Name | Koki Okada |
| 5th Author's Affiliation | Hokkaido University of Science(Hokkaido University of Science) |
| 6th Author's Name | Takashi Kawakami |
| 6th Author's Affiliation | Hokkaido University of Science(Hokkaido University of Science) |
| Date | 2020-01-25 |
| Paper # | MICT2019-41,MBE2019-70 |
| Volume (vol) | vol.119 |
| Number (no) | MICT-390,MBE-391 |
| Page | pp.pp.11-13(MICT), pp.11-13(MBE), |
| #Pages | 3 |
| Date of Issue | 2020-01-18 (MICT, MBE) |