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- W2754284857 abstract "This study presents an accelerated implementation of a two-dimensional moving mesh point correspondence algorithm using a GPU for tracking mobile tumor boundaries during radiation therapy. Normal CPU implementation of this algorithm is computationally intensive and time-consuming which limits its clinical utility, hence the need for a faster GPU implementation. One of the computationally intensive parts of the registration algorithm involves numerically solving a partial differential equation. In this paper we demonstrate that the computational performance of the algorithms can be improved by utilizing a shared memory implementation on the GPU. Evaluations in comparison to 600 manually drawn contours showed that the proposed GPU-based tracking of the tumor boundaries yielded similar level of accuracy as the CPU based approach with improved computational efficiency." @default.
- W2754284857 created "2017-09-25" @default.
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- W2754284857 date "2017-07-01" @default.
- W2754284857 modified "2023-09-23" @default.
- W2754284857 title "Parallel implementation of a nonrigid image registration algorithm for lung tumor boundary tracking in quasi real-time MRI" @default.
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- W2754284857 doi "https://doi.org/10.1109/embc.2017.8036828" @default.
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