Adaptive projection technique for CT images refinement

Shyh-shiaw Kuo; Richard J. Mammone

doi:10.1117/12.50311

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1 November 1991 Adaptive projection technique for CT images refinement

Shyh-shiaw Kuo, Richard J. Mammone

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Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50311
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

The resolution of computerized tomographic (CT) images is limited due to the bandlimited reconstruction process and the use of smoothing windows that eliminate high spatial frequencies from the image. A new method is presented that restores these missing spectral components and thus increases the resulting spatial resolution of the image. The new method based on the row action projection (RAP) algorithm is computationally efficient and facilitates local adaptation of the projection operators. The local mean value as well as minimum and maximum bounds are used as constraints. The method is proposed to provide a zoom-in capability which yields a high resolution estimate of a specified region of the image. The zoom-in feature could be of great utility in medical and commercial applications of tomographic image reconstruction. Computer simulations demonstrate the new method to be very effective in recovering high order spectral components of designated regions of the reconstructed image.

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Shyh-shiaw Kuo and Richard J. Mammone "Adaptive projection technique for CT images refinement", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50311

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