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EMCCD-based high resolution dynamic x-ray detector for neurovascular interventions.

P Sharma1, S N Swetadri Vasan, A Jain

  • 1Electrical Engineering Department and Toshiba Stroke Research Center, University at Buffalo, The State University of New York, Buffalo, NY 14260-1920, USA. psharma4@buffalo.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary

We developed a high-resolution dynamic X-ray detector for neurovascular interventions. This advanced imaging system enhances real-time visualization during critical procedures.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Radiology

Background:

  • Neurovascular interventions require high-resolution, dynamic imaging for precise guidance.
  • Existing detectors may have limitations in resolution, frame rate, or real-time feedback during complex procedures.

Purpose of the Study:

  • To design and develop a novel high-resolution dynamic X-ray detector tailored for neurovascular interventions.
  • To achieve superior image quality and real-time video feedback for improved region-of-interest (ROI) image guidance.

Main Methods:

  • Utilized a 1024 × 1024 pixel electron multiplying charge coupled device (EMCCD) as the core detector component.
  • Integrated the EMCCD with a fiber optic plate (FOP) and a micro-columnar CsI(TI) scintillator via a fiber optic taper (FOT).
  • Configured the detector for high spatial resolution (9 cycles/mm) at 15 frames/sec and real-time video (30 frames/sec) with binning capabilities.

Main Results:

  • The developed detector achieves 9 cycles/mm resolution at 15 frames/sec.
  • Real-time live video is provided at 30 frames/sec, with adjustable resolution via binning.
  • Image performance, including frame rate and resolution, is independent of the electron multiplying charge coupled device (EMCCD) gain settings.

Conclusions:

  • The designed detector offers high-resolution dynamic imaging capabilities suitable for neurovascular interventions.
  • The system provides crucial real-time visualization for enhanced region-of-interest (ROI) guidance.
  • This technology has the potential to improve procedural accuracy and outcomes in neurovascular treatments.