Antiscatter stationary-grid artifacts automated detection and removal in projection radiography images

Igor Belykh; Craig W. Cornelius

doi:10.1117/12.430992

3 July 2001 Antiscatter stationary-grid artifacts automated detection and removal in projection radiography images

Igor Belykh, Craig W. Cornelius

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.430992
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

Antiscatter grids absorb scattered radiation and increase X- ray image contrast. Stationary grids leave line artifacts or create Moire patterns on resized digital images. Various grid designs were investigated to determine relevant physical properties that affect an image. A detection algorithm is based on grid peak determination in the image's averaged 1D Fourier spectrum. Grid artifact removal is based on frequency filtering in a spatial dimension orthogonal to the grid stripes. Different filter design algorithms were investigated to choose the transfer function that maximizes the suppression of grid artifacts with minimal image distortion. Algorithms were tested on synthetic data containing a variety of SNRs and grid spatial inclinations, on radiographic data containing phantoms with and without grids, and on a set of real CR images. Detector and filter performance were optimized by using Intel Signal Processing Library, resulting in a time of about 3 sec to process a 2Kx2.5K CR image on a Pentium II PC> There are no grid artifacts and no image blur revealed on processed images as evaluated by third party technical and medical experts. This automated grid artifact suppression method is built into a new version of Kodak PACS Link Medical Image Manager.

Citation Download Citation

Igor Belykh and Craig W. Cornelius "Antiscatter stationary-grid artifacts automated detection and removal in projection radiography images", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.430992

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