XProspeCT: CT Volume Generation from Paired X-Rays
<|reference_start|>XProspeCT: CT Volume Generation from Paired X-Rays: Computed tomography (CT) is a beneficial imaging tool for diagnostic purposes. CT scans provide detailed information concerning the internal anatomic structures of a patient, but present higher radiation dose and costs compared to X-ray imaging. In this paper, we build on previous research to convert orthogonal X-ray images into simulated CT volumes by exploring larger datasets and various model structures. Significant model variations include UNet architectures, custom connections, activation functions, loss functions, optimizers, and a novel back projection approach.<|reference_end|>
@article{paulson2024xprospect:,
    title={XProspeCT: CT Volume Generation from Paired X-Rays},
    author={Benjamin Paulson, Joshua Goldshteyn, Sydney Balboni, John Cisler,
  Andrew Crisler, Natalia Bukowski, Julia Kalish, Theodore Colwell},
    journal={arXiv preprint arXiv:2403.00771},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.00771},
    primaryClass={eess.IV cs.CV cs.LG physics.med-ph}
}