| Presentation | 2020-03-06 Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduce the burden on doctors in emergency medicine. In this paper, we propose a bone removal method based on the watershed algorithm for bone removal, which is one of the important factors in the detection process, and improve its performance. In addition, the number of false positive was reduced by using a random forest learner to classify candidate area using texture feature. By using the proposed bone removal method, the sensitivity was improved and the detectability was improved compared to the conventional method. In addition, false positives were reduced by about 35% compared to previous studies by classifying candidate regions corresponding to bone misdetection. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | contrast-enhanced CT images / extravasation / machine learning / Random Forest method / texture analysis |
| Paper # | IMQ2019-34,IE2019-116,MVE2019-55 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | IE / IMQ / MVE / CQ |
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| Conference Date | 2020/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Kenji Mase(Nagoya Univ.) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Masayuki Ihara(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Assistant | Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images |
| Sub Title (in English) | |
| Keyword(1) | contrast-enhanced CT images |
| Keyword(2) | extravasation |
| Keyword(3) | machine learning |
| Keyword(4) | Random Forest method |
| Keyword(5) | texture analysis |
| 1st Author's Name | Hiroki Kimura |
| 1st Author's Affiliation | Graduate of Science and Engineering, Chiba University(Chiba Univ) |
| 2nd Author's Name | Kumiko Arai |
| 2nd Author's Affiliation | Department of Emergency and Critical Care Medicine(Chiba Univ) |
| 3rd Author's Name | Yuichiro Yoshimura |
| 3rd Author's Affiliation | Center for Frontier Medical Engineering, Chiba University(Chiba Univ) |
| 4th Author's Name | Takaaki Nakada |
| 4th Author's Affiliation | Department of Emergency and Critical Care Medicine(Chiba Univ) |
| 5th Author's Name | Shigeto Oda |
| 5th Author's Affiliation | Department of Emergency and Critical Care Medicine(Chiba Univ) |
| 6th Author's Name | Toshiya Nakaguchi |
| 6th Author's Affiliation | Center for Frontier Medical Engineering, Chiba University(Chiba Univ) |
| Date | 2020-03-06 |
| Paper # | IMQ2019-34,IE2019-116,MVE2019-55 |
| Volume (vol) | vol.119 |
| Number (no) | IMQ-454,IE-456,MVE-457 |
| Page | pp.pp.93-96(IMQ), pp.93-96(IE), pp.93-96(MVE), |
| #Pages | 4 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |