Deformable Image Registration Effect on PCA-based Reconstruction with Single X-ray Imaging
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    Abstract:

    In modern lung cancer radiotherapy, it is important to have a precise knowledge of the real-time lung tumor position during the treatment delivery. For a real-time 3D lung imaging algorithm from a single X-ray projection image, the inaccuracies contributed by the image registration process affects much on the PCA modelling and construction process. We utilize 3 deformable image registration algorithms: Optical Flow method, Demons method and Levelset method to evaluate the effect. By making quantitative analysis and qualitative analysis, we get the conclusion: Optical Flow method works much better in registration and PCA modelling.

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FAN Zhongyin, WANG Jianjun, ZHU Qingsong, XIE Yaoqin, XING Lei. Deformable Image Registration Effect on PCA-based Reconstruction with Single X-ray Imaging[J]. Journal of Integration Technology,2015,4(3):62-68

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  • Received:
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  • Online: May 29,2015
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