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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
  • General Electric
  • California State University Dominguez Hills
  • Ge Healthcare

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMedical Imaging 2021
Subtitle of host publicationPhysics of Medical Imaging
EditorsHilde Bosmans, Wei Zhao, Lifeng Yu
PublisherSPIE
ISBN (Electronic)9781510640191
DOIs
StatePublished - 2021
Externally publishedYes
EventMedical Imaging 2021: Physics of Medical Imaging - Virtual, Online, United States
Duration: 15 Feb 202119 Feb 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11595
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2021: Physics of Medical Imaging
Country/TerritoryUnited States
CityVirtual, Online
Period15/02/2119/02/21

Keywords

  • 3d imaging
  • Intelligent system
  • Mobile sensing
  • X-ray tomosynthesis

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