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Simulation system for understanding the lag effect in fluoroscopic images.

Rie Tanaka1, Hiroki Kawashima, Katsuhiro Ichikawa

  • 1Department of Radiological Technology, School of Health Sciences, College of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan. rie44@mhs.mp.kanazawa-u.ac.jp

Radiological Physics and Technology
|December 29, 2012
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Summary

This study developed a simulation system to understand image lag effects in flat-panel detectors (FPDs) for radiotherapy tumor tracking. The system accurately reproduced image lag, aiding in analyzing its impact on imaging accuracy.

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Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Processing

Background:

  • Real-time tumor tracking in external radiotherapy relies on diagnostic X-ray imaging using dynamic flat-panel detectors (FPDs).
  • Understanding image lag effects is critical for accurate real-time tumor tracking during radiotherapy.
  • Image lag can introduce inaccuracies in tumor position detection and treatment delivery.

Purpose of the Study:

  • To develop a simulation system for analyzing image lag in dynamic FPDs used for radiotherapy.
  • To quantify the impact of various imaging parameters on image lag and its effects.
  • To validate the simulation system's accuracy by comparing simulated lag with actual observed lag.

Main Methods:

  • Measured image lag properties of direct- and indirect-conversion FPDs using flat-field images.
  • Developed a simulation system incorporating measured lag properties, FPD types, imaging rates, exposure doses, and target speeds.
  • Simulated moving targets with image lag and compared them to actual moving targets to assess reproducibility.

Main Results:

  • The simulation system successfully reproduced image lag, showing good agreement with actual lag and predicted effects.
  • In indirect-conversion FPDs, higher radiation doses increased image lag; direct-conversion FPDs showed no significant dose-dependent lag.
  • No correlation was found between target speed and image blurring for either FPD type.
  • Maximum contour blurring was 1.1 mm and pixel value increase was 10.0% due to image lag across tested parameters.

Conclusions:

  • The developed simulation system accurately models image lag in dynamic FPDs.
  • Image lag effects, including blurring and pixel value changes, can be estimated under various imaging conditions.
  • This simulation tool is valuable for understanding and mitigating image lag in fluoroscopic imaging for radiotherapy.