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عنوان انگليسی

Development of an algorithm for reducing scatter distribution in fluorescence reflectance images using Wiener filter in Wavelet domain

خلاصه انگلیسی

Fluorescent reflectance imaging (FRI) is a diagnostic method with the high specificity which is based on spatial distribution of fluorescence intensity at the surface of a biological tissue. The contribution of scattering effects to the fluorescence intensity prevents the detection of deep seated tumors. The aim of this paper is to develop an image processing algorithm for reducing the scattering effects in FRI images. For this purpose, an experimental setup was implemented using a cooled CCD camera and a near infrared (NIR) laser. We used the setup to obtain FRI images of fluorescent point source inside a tissue like phantom. The acquired images were deblurred by the proposed algorithm which includes a Wiener filter in Wavelet domain. The deblurring method was evaluated qualitatively by full width at half maximum intensity (FWHM) and signal to noise ratio (SNR). In comparison with the conventional blind deconvolution method, the FWHM and CNR were reduced 5 pixels and 2 db. In conclusion the proposed algorithm can be used in wide range of optical imaging modalities for detecting subtle and deep lesions.

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