Mobile x-ray tomography system with intelligent sensing for 3D chest imaging

Yang Zhao; J. Eric Tkaczyk; Alex Chen; Bernhard Claus; Katelyn Nye; Gireesha Rao

doi:10.1117/12.2580936

15 February 2021 Mobile x-ray tomography system with intelligent sensing for 3D chest imaging

Yang Zhao, J. Eric Tkaczyk, Alex Chen, Bernhard Claus, Katelyn Nye, Gireesha Rao

Proceedings Volume 11595, Medical Imaging 2021: Physics of Medical Imaging; 1159535 (2021) https://doi.org/10.1117/12.2580936
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

Tomography in the mobile setting has the potential to improve diagnostic outcomes by enabling 3D imaging at the patient’s bedside. Using component testing and system simulations, we demonstrate the potential for limited angle X-ray tomography on a mobile X-ray system. To enable mobile features such as low weight, size and power of system components, we have developed detector and patient anatomy tracking algorithms for accurately and automatically registering system geometry to patient anatomy during acquisition of individual projective-views along a tube-motion trajectory. We evaluate the effects of acquisition parameters and registration inaccuracy on image quality of reconstructed chest images using realistic X-ray simulation of an anthropomorphic numerical phantom of the thorax.

Conference Presentation

Citation Download Citation

Yang Zhao, J. Eric Tkaczyk, Alex Chen, Bernhard Claus, Katelyn Nye, and Gireesha Rao "Mobile x-ray tomography system with intelligent sensing for 3D chest imaging", Proc. SPIE 11595, Medical Imaging 2021: Physics of Medical Imaging, 1159535 (15 February 2021); https://doi.org/10.1117/12.2580936

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