| Presentation | 2015-05-15 A study on bronchus segmentation based on machine learning method from chest CT Image Qier Meng, Takayuki Kitasaka, Yukitaka Nimura, Yoshihoko Nakamura, Masahiro Oda, Kensaku Mori, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents a method for extracting bronchus regions from 3D chest CT images that uses a combination of region growing, and voxelclassification based on and machine learning methods. Most of previous methods focus on tracing the bronchial tree by region growing algorithms, it always fails to trace the tree when the abnormal appears to interruptsuch as lung tumors. Our method is mainly based on detecting the candidate voxels which have the bronchial features and implementing the SVM method to select the appropriate candidates. First, we combined two types of tube enhancement filters to detect the candidate region having line structures based on the Hessian analysis, and a modified RRF(Radial Reach Filter). Second, we calculate bronchial features derived from both image intensity and shape. At last, we classify the candidate voxels by a classifier which is trained by the SVM using the training dataset. We applied the proposed method to four cases of 3D chest CT images and showed that it could extract the bronchial tree more accuracy than the previous method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | SVMlocal intensity structureRadial Reach FilterHessian analysis |
| Paper # | SIP2015-23,IE2015-23,PRMU2015-23,MI2015-23 |
| Date of Issue | 2015-05-07 (SIP, IE, PRMU, MI) |
| Conference Information | |
| Committee | PRMU / MI / IE / SIP |
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| Conference Date | 2015/5/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kazuhiko Sumi(Aoyama Gakuin Univ.) / Akinobu Shimizu(Tokyo Univ. of Agric. and Tech.) / Toshiaki Fujii(Nagoya Univ.) / Yoshinobu Kajikawa(Kansai Univ.) |
| Vice Chair | Koichi Kise(Osaka Pref. Univ.) / Shuji Senda(NEC) / Yoshitaka Masutani(Hiroshima City Univ.) / Kensaku Mori(Nagoya Univ.) / Seishi Takamura(NTT) / Takayuki Hamamoto(Tokyo Univ. of Science) / Osamu Houshuyama(NEC) / Makoto Nakashizuka(Chiba Inst. of Tech.) |
| Secretary | Koichi Kise(Kyushu Univ.) / Shuji Senda(Omron) / Yoshitaka Masutani(Tokushima Univ.) / Kensaku Mori(Kinki Univ.) / Seishi Takamura(NHK) / Takayuki Hamamoto(KDDI R&D Labs.) / Osamu Houshuyama(Ritsumeikan Univ.) / Makoto Nakashizuka(NEC) |
| Assistant | Wataru Ohyama(Mie Univ.) / Mitsuru Anbai(DENSO IT Lab.) / Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidetaka Hontani(Nagoya Inst. of Tech.) / Shohei Matsuo(NTT) / Takamichi Miyata(Chiba Inst. of Tech.) / Takamichi Miyata(Chiba Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Medical Imaging / Technical Committee on Image Engineering / Technical Committee on Signal Processing |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on bronchus segmentation based on machine learning method from chest CT Image |
| Sub Title (in English) | |
| Keyword(1) | SVMlocal intensity structureRadial Reach FilterHessian analysis |
| 1st Author's Name | Qier Meng |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 2nd Author's Name | Takayuki Kitasaka |
| 2nd Author's Affiliation | Aichi Institute of Technology(AIT) |
| 3rd Author's Name | Yukitaka Nimura |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 4th Author's Name | Yoshihoko Nakamura |
| 4th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 5th Author's Name | Masahiro Oda |
| 5th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 6th Author's Name | Kensaku Mori |
| 6th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| Date | 2015-05-15 |
| Paper # | SIP2015-23,IE2015-23,PRMU2015-23,MI2015-23 |
| Volume (vol) | vol.115 |
| Number (no) | SIP-22,IE-23,PRMU-24,MI-25 |
| Page | pp.pp.121-126(SIP), pp.121-126(IE), pp.121-126(PRMU), pp.121-126(MI), |
| #Pages | 6 |
| Date of Issue | 2015-05-07 (SIP, IE, PRMU, MI) |