Multi-PSF modelling for X-ray diffraction pattern reconstruction

Zhu, Daan, Razaz, Moe, Hemmings, Andrew ORCID: and Wang, Binhai (2004) Multi-PSF modelling for X-ray diffraction pattern reconstruction. In: 12th European Signal Processing Conference, 2004-09-06 - 2004-09-10.

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In this paper, we present a point spread function (PSF) modelling technique to improve restoration of x-ray diffraction pattern (XRD). Different diffraction areas have different distortion orientations due to diffuse light distortion (DLD). A new multiple PSF model is introduced and used to restore XRD data. Raw PSFs are collected from isolated spots from x-ray diffraction pattern in high resolution areas which represent orientation of DLDs. An adaptive ridge regression (ARR) technique is used to remove noise from the raw PSF. A target Gaussian function is used to model the raw PSFs. A gradient descent algorithm (GDA) is used to find optimum parameters in a Gaussian function. A set of XRD data are restored by an iterative deconvolution algorithm (IDA) using the modelled PSFs. Experimental results using a single and multiple PSFs are presented and discussed. We show that by using a multiple PSF model in the deconvolution algorithm improved restored X-ray patterns are obtained and as a result the symmetry estimator and χ2 are improved.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
Faculty of Science > School of Biological Sciences
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Depositing User: EPrints Services
Date Deposited: 01 Oct 2010 13:40
Last Modified: 07 Mar 2023 12:30

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