A real-time feature-based markerless tumor tracking method using X-ray image sequence for radiotherapy

A real-time feature-based markerless tumor tracking method using X-ray image sequence for radiotherapy
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DOI:
10.1109/iwcim.2015.7347086
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发表时间:
2015-10
期刊:
2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)
影响因子:
--
通讯作者:
Y. Yoshida;K. Ichiji;Xiaoyong Zhang;N. Homma;Y. Takai;M. Yoshizawa
Y. Yoshida;K. Ichiji;Xiaoyong Zhang;N. Homma;Y. Takai;M. Yoshizawa
中科院分区:
其他
文献类型:
--
作者:
Y. Yoshida;K. Ichiji;Xiaoyong Zhang;N. Homma;Y. Takai;M. Yoshizawa

文献摘要

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在本文中,我们提出了一种实时无标记肿瘤跟踪方法的放射治疗。该方法是一种基于特征的X射线图像序列跟踪方法。该方法首先利用尺度不变特征变换(SIFT)技术检测跟踪目标的特征点。然后,通过光流跟踪特征点。所提出的方法进行了测试,使用临床X射线图像序列与两个传统的跟踪方法进行比较。该方法的跟踪误差为0.74±1.18 mm,计算速度约为20帧/s。这一结果表明,所提出的方法是潜在的实时肿瘤跟踪。
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.