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 conver...

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Bibliographic Details
Published in:arXiv.org 2024-02
Main Authors: Paulson, Benjamin, Goldshteyn, Joshua, Balboni, Sydney, Cisler, John, Crisler, Andrew, Bukowski, Natalia, Kalish, Julia, Colwell, Theodore
Format: Article
Language:English
Subjects:
Computed tomography
Medical imaging
Radiation dosage
X ray imagery
X-rays
Online Access:Get full text
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Summary: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.
ISSN:2331-8422