XProspeCT: CT Volume Generation from Paired X-Rays

• URL: http://arxiv.org/abs/2403.00771v1
• Date: Sun, 11 Feb 2024 21:57:49 GMT
• Title: XProspeCT: CT Volume Generation from Paired X-Rays
• Authors: Benjamin Paulson, Joshua Goldshteyn, Sydney Balboni, John Cisler, Andrew Crisler, Natalia Bukowski, Julia Kalish, Theodore Colwell
• Abstract summary: We build on previous research to convert X-ray images into simulated CT volumes. Model variations include UNet architectures, custom connections, activation functions, loss functions, and a novel back projection approach.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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