Comparison of Image Restoration Methods for Bioluminescence Imaging

Abstract

Abstract. Bioluminescence imaging is a recent modality to visualize biological effects more especially for small animals. However the acquired images are degraded by diffusion and absorption phenomena from the tissue and by the acquisition system itself. In this paper, we use restoration methods to enhance the quality of bioluminescence images. We propose a model for image formation and an experimental determination of the PSF (Point Spread Function). Several methods of restoration are compared on test images generated according to the model and on real data. This comparison is insured by using MSE (Mean Square Error) and two quantitative criteria. Results establish that the statistical methods give more accurate restoration and well adapted for Bioluminescence Imaging.

Use of an Image Restoration Process to Improve Spatial Resolution in Bioluminescence Imaging

“…We showed that the restoration had no significant impact on the quantitation ( n = 15 measurements) according to the results obtained with synthetic images. 10…”

“…On the basis of previous results, 10 the blind deconvolution method was used to restore the bioluminescent images. With this method, accurate a priori knowledge of the PSF is not necessary but allows the algorithm to converge more quickly.…”

“…By comparing several restoration methods using synthetic images, the blind deconvolution method was found to be the most suitable for our application. 10 The aim of the present study was to apply this restoration method to in vivo acquisitions of bioluminescent tumors, to validate the algorithm using slices of computed tomographic (CT) images, or tumor photography, as reference images, and to evaluate the algorithm's effectiveness in restoring bioluminescent images. Four tumor models were used.…”

“…By comparing several restoration methods using synthetic images, the blind deconvolution method was found to be the most suitable for our application. 10…”