An improved method for the removal of ring artifacts in high resolution CT imaging

In high resolution computed tomography (CT) using flat panel detectors, imperfect or defected detector elements cause stripe artifacts in sinogram which results in concentric ring artifacts in the image. Such ring artifacts obscure image details in the regions of interest of the image. In this article, novel techniques are proposed for the detection, classification, and correction of ring artifacts in the sinogram domain. The proposed method is suitable for multislice CT with parallel or fan beam geometry. It can also be employed for ring artifact removal in 3D cone beam volume CT by adopting a sinogram by sinogram processing technique. The detection algorithm is based on applying data driven thresholds on the mean curve and difference curve of the sinogram. The ring artifacts are classified into three types and a separate correction algorithm is used for each class. The performance of the proposed techniques is evaluated on a number of real micro-CT images. Experimental results corroborate that the proposed algorithm can remove ring artifacts from micro-CT images more effectively as compared to other recently reported techniques in the literature.

[1]  Willi A Kalender,et al.  Ring artifact correction for high-resolution micro CT , 2009, Physics in medicine and biology.

[2]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[3]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[4]  Patrick Pérez,et al.  Object removal by exemplar-based inpainting , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[5]  Ruola Ning,et al.  2D wavelet-analysis-based calibration technique for flat-panel imaging detectors: application in cone beam volume CT , 1999, Medical Imaging.

[6]  J. Sijbers,et al.  Reduction of ring artifacts in high resolution micro-CT images , 2004 .

[7]  A. Zoubir,et al.  EURASIP Journal on Advances in Signal Processing , 2011 .

[8]  Soo Yeol Lee,et al.  A Self-Adaptive Approach for the Detection and Correction of Stripes in the Sinogram: Suppression of Ring Artifacts in CT Imaging , 2011, EURASIP J. Adv. Signal Process..

[9]  Mirko Boin,et al.  Compensation of ring artefacts in synchrotron tomographic images. , 2006, Optics express.

[10]  Peter J. Gregory,et al.  An X-ray micro-tomography system optimised for the low-dose study of living organisms. , 2003, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[11]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[12]  Graham R. Davis,et al.  X-ray microtomography scanner using time-delay integration for elimination of ring artefacts in the reconstructed image , 1997 .

[13]  B. Münch,et al.  Stripe and ring artifact removal with combined wavelet--Fourier filtering. , 2009, Optics express.

[14]  W. Kalender,et al.  Comparison of ring artifact correction methods for flat-detector CT , 2009, Physics in medicine and biology.

[15]  Emran Mohammad Abu Anas,et al.  Removal of ring artifacts in CT imaging through detection and correction of stripes in the sinogram , 2010, Physics in medicine and biology.

[16]  I. Johnstone,et al.  Minimax estimation via wavelet shrinkage , 1998 .

[17]  Soo Yeol Lee,et al.  Removal of ring artifacts in computed tomographic imaging using iterative center weighted median filter , 2010, Comput. Biol. Medicine.

[18]  Richard A. Ketcham,et al.  New algorithms for ring artifact removal , 2006, SPIE Optics + Photonics.

[19]  M. Tolcott Biomedical engineering. , 1972, Science.

[20]  S. Doran,et al.  A CCD-based optical CT scanner for high-resolution 3D imaging of radiation dose distributions: equipment specifications, optical simulations and preliminary results , 2001 .

[21]  Carsten Raven,et al.  Numerical removal of ring artifacts in microtomography , 1998 .