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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kubota, Y. Aoki, K. Nagahashi, H. Minohara, S.-I. |
| Copyright Year | 2009 |
| Description | Author affiliation: Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Kanagawa, Japan (Aoki, K.; Nagahashi, H.) || Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Kanagawa, Japan (Kubota, Y.) || National Institute of Radiological Sciences, Chiba, Japan (Minohara, S.-I.) |
| Abstract | We propose a new method for lung-motion tracking and its quantification from 4-dimensional X-ray computed to-mographic (4D-CT) images. This method uses an enhanced 3D-KLT tracker. An advantage of our method is that it can find many feature points (regions) for tracking that are not restricted to the bifurcation points of bronchi or vessels. The feature point extraction algorithm depends only on image gradients. Moreover, our method adopts a hierarchical tracking based on pyramidal image structure. This provides robustness for large movements of the objects. Lung motion is quantified by tracking a large number of feature points in the lung. In this paper, we first evaluate the performance of our proposed method for artificial 4D-CT images and then describe quantification results of real 4D-CT images. Our experimental results clearly show that lung movement is not modeled by a simple translation but by an oval pattern. |
| Starting Page | 3475 |
| Ending Page | 3479 |
| File Size | 787620 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424439614 |
| ISSN | 10957863 |
| DOI | 10.1109/NSSMIC.2009.5401791 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tracking Nuclear and plasma sciences |
| Content Type | Text |
| Resource Type | Article |
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