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

Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Jonathan M. Lommen; Arnd Dörfler; Andreas Maier

doi:10.1117/12.2512195

15 March 2019 Projection image-to-image translation in hybrid x-ray/MR imaging

Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas Maier

Author Affiliations +

Proceedings Volume 10949, Medical Imaging 2019: Image Processing; 109492K (2019) https://doi.org/10.1117/12.2512195
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

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.

Citation Download Citation

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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