Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks.
Medical physics(2023)
摘要
For the first time, it is demonstrated, also by means of clinical evaluation, that inserting deep neural networks as pre- and post-processing plugins in the existing 3D CBCT reconstruction and trained end-to-end yield significant improvements in image quality and reduction of motion artifacts.
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关键词
cone beam computed tomography,deep learning,motion artifacts
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