Weighted least-squares image reconstruction in phase-contrast tomography
Journal
Proceedings of SPIE - The International Society for Optical Engineering
Journal Volume
7800
ISBN
9780819482969
Date Issued
2010
Author(s)
Pin-Yu Huang
Abstract
X-ray phase-contrast tomography (PCT) methods seek to quantitatively reconstruct separate images that depict an object's absorption and refractive properties. Most PCT reconstruction algorithms generally operate by explicitly or implicitly performing the decoupling of the projected absorption and phase properties at each tomographic view angle by use of a phase-retrieval formula, followed by the inversion of X-ray transform. Tomographic reconstruction by use of statistical methods can account for the noise model and a priori information, and thereby can produce images with better quality over conventional filtered backprojection algorithms. We proposed a weighted least-squares method that takes into account the second-order statistical properties of the projected phase images and aims to minimize the objective function by employing a conjugate-gradient (CG) method. A computer-simulation study was carried out to investigate and evaluate the developed method. © 2010 Copyright SPIE - The International Society for Optical Engineering.
Subjects
conjugate-gradient | noise texture | weighted least-squares | X-ray phase-contrast tomography
SDGs
Type
conference paper
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