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arXiv · 1804.03955

Projection image-to-image translation in hybrid X-ray/MR imaging

Bernhard Stimpel·Christopher Syben·Tobias Würfl·Katharina Breininger·Katrin Mentl·Jonathan M. Lommen·Arnd Dörfler·Andreas Maier
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Abstract

The potential benefit of hybrid X-ray and MR imaging in the interventional environment is large due to the combination of fast imaging with high contrast variety. However, a vast amount of existing image enhancement methods requires the image information of both modalities to be present in the same domain. To unlock this potential, we present a solution to image-to-image translation from MR projections to corresponding X-ray projection images. The approach is based on a state-of-the-art image generator network that is modified to fit the specific application. Furthermore, we propose the inclusion of a gradient map in the loss function to allow the network to emphasize high-frequency details in image generation. Our approach is capable of creating X-ray projection images with natural appearance. Additionally, our extensions show clear improvement compared to the baseline method.

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Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan M. Lommen, Arnd Dörfler, Andreas Maier. 2018-04-11. Projection image-to-image translation in hybrid X-ray/MR imaging. https://doi.org/10.1117/12.2512195

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