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Study on integrated setup system with computer vision for breast cancer radiotherapy

机译:带有计算机视觉的乳腺癌放射治疗集成系统的研究

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Purpose: To discuss a setup verification method based on computer stereo vision for the repeat setup in breast cancer fractional irradiation. Methods and Materials: A photogrammetric system is composed of two cameras and one computer. First, multiple characteristic markers' coordinates are gotten by the two cameras, then the three-dimensional coordinates of the markers are calculated according to the basic principle of binocular calculated, which can construct breast and chest surface stereo features shape, thus the setup error can judge and correct before radiation therapy. At the tracking process, we use SITF (Scale Invariant Feature Transform) as the registration algorithm, which has strong robustness and accurate matching performance, meanwhile, dynamic choice matching image and local searching strategy are used in the process of calculation and mergence in order to make the target image matching more precisely. Results: Experimental results show that in breast cancer fractional irradiation, the system can accurately display setup error and can achieve realtime calculation. Conclusion: The proposed method can reduce setup error in breast cancer fractional irradiation, and has good stability and high precision.
机译:目的:讨论基于计算机立体视觉的设置验证方法,用于乳腺癌分数辐照中的重复设置。方法和材料:摄影测量系统由两个相机和一台计算机组成。首先,通过两个相机获得多个特征标记的坐标,然后根据双目计算的基本原理计算标记的三维坐标,可以构建乳房和胸部表面立体声特征形状,因此设置误差可以在放射治疗前判断并纠正。在跟踪过程中,我们使用SITF(比例不变特征变换)作为注册算法,其具有强大的鲁棒性和准确的匹配性能,同时,在计算和合并的过程中使用动态选择匹配图像和本地搜索策略,以便使目标图像更准确地匹配。结果:实验结果表明,在乳腺癌分数照射中,系统可以准确地显示设置误差,可以实现实时计算。结论:提出的方法可以减少乳腺癌分数照射中的设置误差,具有良好的稳定性和高精度。

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