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9 October 1995 2D deconvolution of SPECT images using morphological information
Mario Bertero; Patrizia Boccacci; D. Brunengo; Monica Gambaro; Andrea Schenone
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Proceedings Volume 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications; (1995) https://doi.org/10.1117/12.224158
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States
Abstract
Single photon emission computed tomography (SPECT) images are significantly degraded by scattering, attenuation, and intrinsic resolution of collimator. The result is a loss of image quality and quantitative accuracy. These images can still give some useful information, when compared with MR or CT images, so that some patients are periodically monitored by morphological (MR or CT) and functional (SPECT) investigations and these images are matched to determine a space correlation. A method to deconvolve the SPECT images, using the 'a priori' information coming from morphological images, is proposed. This information may be seen as a deterministic constraint to be imposed on the solution of the deconvolution problem and incorporated in the numerical algorithms using projection operators.
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Mario Bertero, Patrizia Boccacci, D. Brunengo, Monica Gambaro, and Andrea Schenone "2D deconvolution of SPECT images using morphological information", Proc. SPIE 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications, (9 October 1995); https://doi.org/10.1117/12.224158
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