Comparison between beam-stop and beam-hole array scatter correction techniques for industrial X-ray cone-beam CT

Abstract In industrial X-ray cone-beam computed tomography, the inspection of large-scale samples is important because of increasing demands on their quality and long-term mechanical resilience. Large-scale samples, for example made of aluminum or iron, are strongly scattering X-rays. Scattered radiation leads to artifacts such as cupping, streaks, and a reduction in contrast in the reconstructed CT-volume. We propose a scatter correction method based on sampling primary signals by employing a beam-hole array (BHA). In this indirect method, a scatter estimate is calculated by subtraction of the sampled primary signal from the total signal, the latter taken from an image where the BHA is absent. This technique is considered complementary to the better known beam-stop array (BSA) method. The two scatter estimation methods are compared here with respect to geometric effects, scatter-to-total ratio and practicability. Scatter estimation with the BHA method yields more accurate scatter estimates in off-centered regions, and a lower scatter-to-total ratio in critical image regions where the primary signal is very low. Scatter correction with the proposed BHA method is then applied to a ceramic specimen from power generation technologies. In the reconstructed CT volume, cupping almost completely vanishes and contrast is enhanced significantly.

[1]  J A Seibert,et al.  X-ray scatter removal by deconvolution. , 1988, Medical physics.

[2]  Freek J. Beekman,et al.  Accelerated simulation of cone beam X-ray scatter projections , 2004, IEEE Transactions on Medical Imaging.

[3]  Raphael Thierry,et al.  Monte Carlo simulations of a high-resolution X-ray CT system for industrial applications , 2007 .

[4]  M. Endo,et al.  Effect of scattered radiation on image noise in cone beam CT. , 2001, Medical physics.

[5]  D. Jaffray,et al.  Cone-beam computed tomography with a flat-panel imager: magnitude and effects of x-ray scatter. , 2001, Medical physics.

[6]  P M Joseph,et al.  The effects of scatter in x-ray computed tomography. , 1982, Medical physics.

[7]  S. Molloi,et al.  Scatter and veiling glare estimation based on sampled primary intensity. , 1999, Medical physics.

[8]  D. Jaffray,et al.  The influence of antiscatter grids on soft-tissue detectability in cone-beam computed tomography with flat-panel detectors. , 2004, Medical physics.

[9]  U Neitzel,et al.  Grids or air gaps for scatter reduction in digital radiography: a model calculation. , 1992, Medical physics.

[10]  Daniel Babot,et al.  A beam stop based correction procedure for high spatial frequency scatter in industrial cone-beam X-ray CT , 2008 .

[11]  Moshi Geso,et al.  Measurement and modeling of x-ray scatter using lead discs in digital fluoroscopy , 2002, SPIE Medical Imaging.

[12]  Matthias Bertram,et al.  Performance of standard fluoroscopy antiscatter grids in flat-detector-based cone-beam CT , 2004, SPIE Medical Imaging.

[13]  H Kanamori,et al.  Effects of scattered X-rays on CT images. , 1985, Physics in medicine and biology.

[14]  P. C. Johns,et al.  Scattered radiation in fan beam imaging systems. , 1982, Medical physics.

[15]  J. Boone,et al.  An analytical model of the scattered radiation distribution in diagnostic radiology. , 1988, Medical physics.

[16]  Examination of aperture signals in digital radiography. , 1998, Physics in medicine and biology.

[17]  Cone-beam tomography system used for non-destructive evaluation of critical components in power generation , 1999 .

[18]  Jeffrey Wayne Eberhard,et al.  Computed tomography part I: Introduction and industrial applications , 1994 .

[19]  M. Maisl,et al.  Image blur in a flat-panel detector due to Compton scattering at its internal mountings , 2007 .

[20]  K Doi,et al.  The validity of Monte Carlo simulation in studies of scattered radiation in diagnostic radiology. , 1983, Physics in medicine and biology.

[21]  K. Klingenbeck-Regn,et al.  Efficient object scatter correction algorithm for third and fourth generation CT scanners , 1999, European Radiology.

[22]  W. Kalender,et al.  Combining deterministic and Monte Carlo calculations for fast estimation of scatter intensities in CT , 2006, Physics in medicine and biology.

[23]  Ruola Ning,et al.  X-ray scatter correction algorithm for cone beam CT imaging. , 2004, Medical physics.

[24]  M Honda,et al.  Method for estimating the intensity of scattered radiation using a scatter generation model. , 1991, Medical physics.

[25]  J A Sorenson,et al.  Scatter rejection by air gaps: an empirical model. , 1985, Medical physics.

[26]  W. Kalender,et al.  Efficiency of antiscatter grids for flat-detector CT , 2007, Physics in medicine and biology.

[27]  W Kalender,et al.  Monte Carlo calculations of x-ray scatter data for diagnostic radiology. , 1981, Physics in medicine and biology.