| Presentation | 2018-11-05 [Poster Presentation] Development of the topology-preserving image alignment based on a local deformation of kernel density function Masataka Watajima, Sayuri Kuge, Takeshi Ishihara, Yuichi Iino, Ryo Yoshida, Terumasa Tokunaga, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Image alignment or image registration is a process for aligning two or more images into a common coordinate system. Many algorithms have been proposed for a medical image alignment, but most of them are not practical for non-rigid tubular-objects such as vessel, axon and neurite, without ad-hoc preprocessing steps. In this paper, we propose a novel image alignment technique based on a local deformation of kernel density functions and deformation models based on Markov random fields. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Non-rigid image alignment / kernel density estimation / Markov random fields / EM algorithm / Bayesian optimization |
| Paper # | IBISML2018-55 |
| Date of Issue | 2018-10-29 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2018/11/5(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Citizens Activites Center (Kaderu 2.7) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2018) |
| Chair | Hisashi Kashima(Kyoto Univ.) |
| Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Masashi Sugiyama(Nagoya Inst. of Tech.) / Koji Tsuda(AIST) |
| Assistant | Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Development of the topology-preserving image alignment based on a local deformation of kernel density function |
| Sub Title (in English) | |
| Keyword(1) | Non-rigid image alignment |
| Keyword(2) | kernel density estimation |
| Keyword(3) | Markov random fields |
| Keyword(4) | EM algorithm |
| Keyword(5) | Bayesian optimization |
| 1st Author's Name | Masataka Watajima |
| 1st Author's Affiliation | Kyushu Institute of Technology(KIT) |
| 2nd Author's Name | Sayuri Kuge |
| 2nd Author's Affiliation | Kyushu University(KU) |
| 3rd Author's Name | Takeshi Ishihara |
| 3rd Author's Affiliation | Kyushu University(KU) |
| 4th Author's Name | Yuichi Iino |
| 4th Author's Affiliation | The University of Tokyo(UT) |
| 5th Author's Name | Ryo Yoshida |
| 5th Author's Affiliation | The Institute of Statistical Mathematics(ISM) |
| 6th Author's Name | Terumasa Tokunaga |
| 6th Author's Affiliation | Kyushu Institute of Technology(KIT) |
| Date | 2018-11-05 |
| Paper # | IBISML2018-55 |
| Volume (vol) | vol.118 |
| Number (no) | IBISML-284 |
| Page | pp.pp.83-90(IBISML), |
| #Pages | 8 |
| Date of Issue | 2018-10-29 (IBISML) |