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• W2020302024 abstract "Purpose/Objective(s)The purpose of this study was to improve deformable registration method for cone beam CT (CBCT) based image guided radiation therapy (IGRT) system. In our work, dual-tree complex wavelet (DT-CW) is used for resuming both of local and global deformations between planning CT (PCT) and daily CBCT for adaptive radiation therapy (ART).Materials/MethodsDatasets were collected from 30 patients who are treated under CBCT System using on-board imager, including H&N, breast, lung, rectum and prostate cancer images. Before treatment planning, every patient underwent intravenous contrast PCT imaging. At the time of each delivered treatment fraction, CBCT scans were obtained for the patients during normal breathing. We estimated the deformation fields using a multi-resolution DT-CW representation by coarse to fine manner for registration process. Comparing with traditional wavelet transform, DT-CW has good properties of shift invariant and directionally selective which is helpful for the registration process, while keeping the capability of computationally efficient. Wavelet coefficients in lower resolutions for approximation the deformations represent global deformations, while coefficients in higher resolutions and other different orientations with finer details represent the local deformations. Moreover, the deformation energy function for estimating the wavelet coefficients, which express the deformation by a coarse to fine manner, is designed by defined internal and external forces. The internal force is derived from the navier partial differential equation which is a physical model for deformable registration, and the external force is the function of the normalized mutual information for similarity measure. During the experiments, both of PCT-CBCT and CBCT-CBCT are registered respectively for both multi-modality and mono-modality. Three known deformations (D3>D2>D1) are used for quantitative assessment of the DT-CW based registration method, and both artificially deformed and real clinical images are performed in our experiments.ResultsThe experiments shows that deformation differences (DDs) gained by DT-WT are always smaller than the traditional B-spline based FFD method. It found that DT-WT can accelerate the registration process by an average 10%-25% when both of DT-WT and FFD are keeping in same accuracy, and can improve the accuracy on an average 9%-16% when using same time. Furthermore, DT-WT is more efficient for cases with larger deformation, which is benefit from the global to local estimation process.ConclusionThe experiments showed that DT-WT based registration method can express the local and global deformation fields efficiently for CBCT based IGRT system. Purpose/Objective(s)The purpose of this study was to improve deformable registration method for cone beam CT (CBCT) based image guided radiation therapy (IGRT) system. In our work, dual-tree complex wavelet (DT-CW) is used for resuming both of local and global deformations between planning CT (PCT) and daily CBCT for adaptive radiation therapy (ART). The purpose of this study was to improve deformable registration method for cone beam CT (CBCT) based image guided radiation therapy (IGRT) system. In our work, dual-tree complex wavelet (DT-CW) is used for resuming both of local and global deformations between planning CT (PCT) and daily CBCT for adaptive radiation therapy (ART). Materials/MethodsDatasets were collected from 30 patients who are treated under CBCT System using on-board imager, including H&N, breast, lung, rectum and prostate cancer images. Before treatment planning, every patient underwent intravenous contrast PCT imaging. At the time of each delivered treatment fraction, CBCT scans were obtained for the patients during normal breathing. We estimated the deformation fields using a multi-resolution DT-CW representation by coarse to fine manner for registration process. Comparing with traditional wavelet transform, DT-CW has good properties of shift invariant and directionally selective which is helpful for the registration process, while keeping the capability of computationally efficient. Wavelet coefficients in lower resolutions for approximation the deformations represent global deformations, while coefficients in higher resolutions and other different orientations with finer details represent the local deformations. Moreover, the deformation energy function for estimating the wavelet coefficients, which express the deformation by a coarse to fine manner, is designed by defined internal and external forces. The internal force is derived from the navier partial differential equation which is a physical model for deformable registration, and the external force is the function of the normalized mutual information for similarity measure. During the experiments, both of PCT-CBCT and CBCT-CBCT are registered respectively for both multi-modality and mono-modality. Three known deformations (D3>D2>D1) are used for quantitative assessment of the DT-CW based registration method, and both artificially deformed and real clinical images are performed in our experiments. Datasets were collected from 30 patients who are treated under CBCT System using on-board imager, including H&N, breast, lung, rectum and prostate cancer images. Before treatment planning, every patient underwent intravenous contrast PCT imaging. At the time of each delivered treatment fraction, CBCT scans were obtained for the patients during normal breathing. We estimated the deformation fields using a multi-resolution DT-CW representation by coarse to fine manner for registration process. Comparing with traditional wavelet transform, DT-CW has good properties of shift invariant and directionally selective which is helpful for the registration process, while keeping the capability of computationally efficient. Wavelet coefficients in lower resolutions for approximation the deformations represent global deformations, while coefficients in higher resolutions and other different orientations with finer details represent the local deformations. Moreover, the deformation energy function for estimating the wavelet coefficients, which express the deformation by a coarse to fine manner, is designed by defined internal and external forces. The internal force is derived from the navier partial differential equation which is a physical model for deformable registration, and the external force is the function of the normalized mutual information for similarity measure. During the experiments, both of PCT-CBCT and CBCT-CBCT are registered respectively for both multi-modality and mono-modality. Three known deformations (D3>D2>D1) are used for quantitative assessment of the DT-CW based registration method, and both artificially deformed and real clinical images are performed in our experiments. ResultsThe experiments shows that deformation differences (DDs) gained by DT-WT are always smaller than the traditional B-spline based FFD method. It found that DT-WT can accelerate the registration process by an average 10%-25% when both of DT-WT and FFD are keeping in same accuracy, and can improve the accuracy on an average 9%-16% when using same time. Furthermore, DT-WT is more efficient for cases with larger deformation, which is benefit from the global to local estimation process. The experiments shows that deformation differences (DDs) gained by DT-WT are always smaller than the traditional B-spline based FFD method. It found that DT-WT can accelerate the registration process by an average 10%-25% when both of DT-WT and FFD are keeping in same accuracy, and can improve the accuracy on an average 9%-16% when using same time. Furthermore, DT-WT is more efficient for cases with larger deformation, which is benefit from the global to local estimation process. ConclusionThe experiments showed that DT-WT based registration method can express the local and global deformation fields efficiently for CBCT based IGRT system. The experiments showed that DT-WT based registration method can express the local and global deformation fields efficiently for CBCT based IGRT system." @default.
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• W2020302024 title "Multiresolution Deformable Registration Framework Using Dual-Tree Complex Wavelet for Adaptive Radiation Therapy" @default.
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