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15 March 2019 Projection image-to-image translation in hybrid x-ray/MR imaging
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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, Jonathan M. Lommen, Arnd Dörfler, and Andreas Maier "Projection image-to-image translation in hybrid x-ray/MR imaging", Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 109492K (15 March 2019); https://doi.org/10.1117/12.2512195
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