DocumentCode :
3863121
Title :
A real-time feature-based markerless tumor tracking method using X-ray image sequence for radiotherapy
Author :
Yusuke Yoshida;Kei Ichiji;Xiaoyong Zhang;Noriyasu Homma;Yoshihiro Takai;Makoto Yoshizawa
Author_Institution :
Tohoku University, Sendai, Japan
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we present a real-time markerless tumor tracking method for radiotherapy treatment. The proposed method is a feature-based tracking method using X-ray image sequence. In the proposed method, feature points of a tracking target are firstly detected by using the scale-invariant feature transform (SIFT) technique. Then, the feature points are tracked by an optical flow. The proposed method was tested by using clinical X-ray image sequences in comparison with two conventional tracking methods. The tracking error of the proposed method was 0.74±1.18 mm and the computational speed is about 20 frames/s. This result suggests that the proposed method is potential for real-time tumor tracking.
Keywords :
Lesions
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Multimedia Understanding (IWCIM), 2015 International Workshop on
Type :
conf
DOI :
10.1109/IWCIM.2015.7347086
Filename :
7347086
Link To Document :
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