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arXiv · 1911.05530

Multi-domain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting

Artem Pimkin·Alexander Samoylenko·Natalia Antipina·Anna Ovechkina·Andrey Golanov·Alexandra Dalechina·Mikhail Belyaev
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Abstract

Recent CT Metal Artifacts Reduction (MAR) methods are often based on image-to-image convolutional neural networks for adjustment of corrupted sinograms or images themselves. In this paper, we are exploring the capabilities of a multi-domain method which consists of both sinogram correction (projection domain step) and restored image correction (image-domain step). Moreover, we propose a formulation of the first step problem as sinogram inpainting which allows us to use methods of this specific field such as partial convolutions. The proposed method allows to achieve state-of-the-art (-75% MSE) improvement in comparison with a classic benchmark - Li-MAR.

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Artem Pimkin, Alexander Samoylenko, Natalia Antipina, Anna Ovechkina, Andrey Golanov, Alexandra Dalechina, Mikhail Belyaev. 2020-05-11. Multi-domain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting. https://arxiv.org/abs/1911.05530

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