Abstract
We present preliminary results of an off-the-shelf approach for the translation of a photographic mouse image to an X-ray scan for anatomical mouse mapping, but not for diagnosis, in functional 2D molecular imaging techniques, such radionuclide and optical imaging. It is well known that preclinical molecular imaging accelerates the drug development process. However, commercial imaging systems have high purchase cost, require high service contracts, special facilities and trained staff. As an alternative, planar molecular imaging systems provide several advantages including lower complexity and decreased cost among others, making them affordable to small and medium sized groups which work in the field, bridging the gap between biodistributions studies and 3D imaging systems. A pix2pix network was trained to predict a realistic X-ray mouse image from a photographic one (simplifying the hardware and cost requirement compared to standard X-rays), giving the potential to have an anatomical map of the mouse, along with the functional information of a molecular planar imaging modality.
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Acknowledgements
We thank Giorgos Tolias, assistant professor at the Czech Technical University in Prague, for helpful discussions.
This research is co-financed by Greece and the European Union (European Social Fund-ESF) through the Operational Program “Human Resources Development, Education and Lifelong Learning 2014–2020” in the context of the project “Deep learning algorithms for molecular imaging applications” (MIS-5050329).
The publication of this research is funded by the University of West Attica, Greece.
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Fysikopoulos, E. et al. (2022). Photograph to X-ray Image Translation for Anatomical Mouse Mapping in Preclinical Nuclear Molecular Imaging. In: Su, R., Zhang, YD., Liu, H. (eds) Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021). MICAD 2021. Lecture Notes in Electrical Engineering, vol 784. Springer, Singapore. https://doi.org/10.1007/978-981-16-3880-0_31
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