• Corpus ID: 226290197

X-ray imaging detector for radiological applications in the harsh environments of low-income countries

@article{Chavarria2020XrayID,
  title={X-ray imaging detector for radiological applications in the harsh environments of low-income countries},
  author={Mario Andr{\'e}s Chavarria and Matthias Huser and Sebastien Blanc and Pascal Monnin and J{\'e}r{\^o}me Schmid and Christophe Ch{\^e}nes and Lazhari Assassi and Hubert Blanchard and Romain Sahli and Jean-Philippe Thiran and Ren'e P. Salath'e and Klaus Schonenberger EssentialTech Centre of Ecole Polyte Epfl and Ecole technique Ecole des m'etiers Lausanne Etml and Institute of radiation physics Ira at Centre hospitalier uni Lausanne and Department of Medical radiology technology Geneva School of H Geneve and Pristem SA Lausanne and Signal Processing Laboratory 5 of Ecole Polytechnique F'e Lausanne and School of Engineering at Ecole Polytechnique F'ed'erale d Lausanne},
  journal={arXiv: Medical Physics},
  year={2020}
}

• M. Chavarria, M. Huser, +15 authors School of Engineering at Ecole Polytechnique F'ed'erale d Lausanne
• Published 10 November 2020
• Physics
• arXiv: Medical Physics

This paper describes the development of a novel medical Xray imaging system adapted to the needs and constraints of low and middle income countries. The developed system is based on an indirect conversion chain: a scintillator plate produces visible light when excited by the Xrays, then a calibrated multi camera architecture converts the visible light from the scintillator into a set of digital images. The partial images are then unwarped, enhanced and stitched through parallel processing units and a specialized software. All the detector components were carefully selected focusing on optimizing the system s image quality, robustness, cost, effectiveness and capability to work in harsh tropical environments. With this aim, different customized and commercial components were characterized. The resulting detector can generate high quality medical diagnostic images with DQE levels up to 60 percent, at 2.34 micro Gray, even under harsh environments i.e. 60 degrees Celsius and 98 percent humidity.