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- W2056536651 abstract "Image reconstruction and motion model estimation in four dimensional cone-beam CT (4D-CBCT) are conventionallyhandled as two sequential steps. Due to the limited number of projections at each phase, the image quality of 4D-CBCTis degraded by view aliasing artifacts, and the accuracy of subsequent motion modeling is decreased by the inferior 4DCBCT.The objective of this work is to enhance both the image quality of 4D-CBCT and the accuracy of motion modelestimation with a novel strategy enabling simultaneous motion estimation and image reconstruction (SMEIR). Theproposed SMEIR algorithm consists of two alternating steps: 1) model-based iterative image reconstruction to obtain amotion-compensated primary CBCT (m-pCBCT) and 2) motion model estimation to obtain an optimal set ofdeformation vector fields (DVFs) between the m-pCBCT and other 4D-CBCT phases. The motion-compensated imagereconstruction is based on the simultaneous algebraic reconstruction (SART) technique coupled with total variationminimization. During the forward- and back-projection of SART, measured projections from an entire set of 4D-CBCTare used for reconstruction of the m-pCBCT by utilizing the updated DVF. The DVF is estimated by matching theforward projection of the deformed m-pCBCT and measured projections of other phases of 4D-CBCT. The performanceof the SMEIR algorithm is quantitatively evaluated on a 4D NCAT phantom. The SMEIR algorithm improves imagereconstruction accuracy of 4D-CBCT and tumor motion trajectory estimation accuracy as compared to conventionalsequential 4D-CBCT reconstruction and motion estimation." @default.
- W2056536651 created "2016-06-24" @default.
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- W2056536651 date "2014-03-19" @default.
- W2056536651 modified "2023-09-25" @default.
- W2056536651 title "Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT" @default.
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- W2056536651 doi "https://doi.org/10.1117/12.2042281" @default.
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