| タイトル | Dense motion analysis and segmentation of ultrasound images |
| その他のタイトル | Dense motion analysis and segmentation of ultrasound images |
| DOI | 10.1117/12.2078856 |
| 参考URL | http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100683562 |
| 著者（日） | 横山, 諒; 青木, 工太; 長橋, 宏 |
| 著者（英） | Yokoyama, Ryo; Aoki, Kota; NAGAHASHI, HIROSHI |
| 発行日 | 2015-03-11 |
| 刊行物名 | Proceedings of SPIE |
| 巻 | 9316 |
| 刊行年月日 | 2015-02 |
| 言語 | en |
| 内容記述 | We propose a dense motion analysis method for ultrasound images. A motion analysis is implemented by tracking a lot of lattice points. In this paper, two novel processings are introduced to perform the motion analysis. One is the tracking of lattice points based on an optical flow algorithm in a framework of multiple spring-models. The other is the detection of lattice points based on texture information with confidence value, and its result corrects the tracking errors. We evaluated our method using a sequence of artificial ultrasound images up to 5 minutes. The average and maximum errors of our proposed method have achieved the best performance in the conventional methods. |
| 資料種別 | Conference Paper |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/608470 |
|
