| Presentation | 2016-01-19 Real time detection of bleeding region for building a hemostasis support system in laparoscopic surgery Takayuki Okamoto, Takashi Ohnishi, Hiroshi Kawahira, Hideaki Haneishi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Laparoscopic surgery can reduce the size of a surgical wound and lead to faster recovery. It is difficult, however, to find bleeding points because of lower visibility due to the bleeding and the narrow field of view in the laparoscope. We propose a method for hemostasis support in laparoscopic surgery using highlighting of blood regions and presenting bleeding frames in laparoscopic images. We aim to develop a hemostasis support system that can detect bleeding regions and present their laparoscopic image frames to surgeons. In this paper, we propose a bleeding detection method based on a machine learning technique. Three feature amounts are calculated from RGB value and HSV value at each pixel and the pixel is classified as either a bleeding pixel or a non-bleeding pixel by a support vector machine (SVM) in real time. When the proposed method was applied to the five laparoscopic motion pictures, more than 95% accuracy was achieved. Processing time was 5 - 10 ms/frame. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Laparoscopic surgery / Bleeding detection / Machine learning / Support vector machine |
| Paper # | MI2015-106 |
| Date of Issue | 2016-01-12 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2016/1/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Bunka Tenbusu Kan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General topics in medical imaging |
| Chair | Yoshitaka Masutani(Hiroshima City 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(NCVC) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | 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) | Real time detection of bleeding region for building a hemostasis support system in laparoscopic surgery |
| Sub Title (in English) | |
| Keyword(1) | Laparoscopic surgery |
| Keyword(2) | Bleeding detection |
| Keyword(3) | Machine learning |
| Keyword(4) | Support vector machine |
| 1st Author's Name | Takayuki Okamoto |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Takashi Ohnishi |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Hiroshi Kawahira |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| 4th Author's Name | Hideaki Haneishi |
| 4th Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2016-01-19 |
| Paper # | MI2015-106 |
| Volume (vol) | vol.115 |
| Number (no) | MI-401 |
| Page | pp.pp.157-160(MI), |
| #Pages | 4 |
| Date of Issue | 2016-01-12 (MI) |