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A nonlinear lag correction algorithm for a-Si flat-panel x-ray detectors.

Jared Starman1, Josh Star-Lack, Gary Virshup

  • 1Department of Electrical Engineering, Stanford University, Stanford, CA, USA. jared.starman@gmail.com

Medical Physics
|October 9, 2012
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Summary
This summary is machine-generated.

A new nonlinear lag correction method (NLCSC) significantly reduces shading artifacts in cone-beam CT imaging by accounting for detector exposure dependencies, improving image quality over linear methods.

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Area of Science:

  • Medical Imaging
  • Radiological Physics
  • Detector Technology

Background:

  • Detector lag in a-Si flat-panel (FP) detectors causes shading artifacts in cone-beam computed tomography (CBCT).
  • Existing linear, time-invariant (LTI) correction models are sensitive to exposure intensity and IRF measurement techniques, leaving residual artifacts.

Purpose of the Study:

  • Develop and evaluate a novel nonlinear, time-invariant (non-LTI) lag correction method.
  • Address the exposure dependencies of lag and improve CBCT image quality.

Main Methods:

  • Implemented a multiexponential LTI model for lag correction.
  • Developed the nonlinear consistent stored charge (NLCSC) method, which estimates stored charge without requiring specific semiconductor parameters.
  • Applied correction algorithms to step-response data and CT scans of pelvic and head phantoms using a Varian 4030CB a-Si FP detector.

Main Results:

  • NLCSC reduced 1st and 50th frame residual lags to <0.29% and <0.0052%, respectively, compared to LTI corrections (<1.4% and <0.48%).
  • NLCSC yielded lower average errors in CT reconstructions (11 HU for pelvic, 3 HU for head) than LTI (14-19 HU, 2-11 HU) and intensity-weighted methods (15 HU, 9 HU).
  • NLCSC consistently produced the smallest maximum ROI error and superior artifact removal.

Conclusions:

  • The NLCSC lag algorithm effectively corrects for exposure-dependent lag.
  • NLCSC provides superior image improvement, particularly for pelvic phantom reconstructions, and comparable results to the best LTI methods for head phantom reconstructions.
  • NLCSC better removes blurred ring artifacts compared to LTI corrections.