Spatially adaptive image restoration for autoradiography

John A. Goyette; Moon Gi Kang; Aggelos K. Katsaggelos; Gregory D. Lapin

doi:10.1117/12.216883

18 August 1995 Spatially adaptive image restoration for autoradiography

John A. Goyette, Moon Gi Kang, Aggelos K. Katsaggelos, Gregory D. Lapin

Proceedings Volume 2622, Optical Engineering Midwest '95; (1995) https://doi.org/10.1117/12.216883
Event: Optical Engineering Midwest '95, 1995, Chicago, IL, United States

Abstract

In this paper, we present a model that is used to improve the resolution of autoradiographic images. The model involves a point spread function (PSF) due to the radiated pattern of emitted photons combined with a signal-dependent noise source due to the granularity of x-ray recording film. A theoretical expression for the PSF is presented, and experimental measurements are performed using ⁵¹Cr microspheres. An iterative regularized image restoration algorithm is developed using a weighting matrix to incorporate the signal- dependent nature of the noise. Since information about the original undegraded image is not completely available, we make use of a regualtization functional that is updated at each iteration to optimize the solution process. Our experimental results indicate that the resolution of autoradiographic images is improved by 43% using this algorithm.

Citation Download Citation

John A. Goyette, Moon Gi Kang, Aggelos K. Katsaggelos, and Gregory D. Lapin "Spatially adaptive image restoration for autoradiography", Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); https://doi.org/10.1117/12.216883

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