Implementation of a fast method for high resolution phase contrast tomography

Abstract

We report the implementation of a method which can yield the 3D distribution of the phase (refractive index) of a weakly absorbing object from a single tomographic data set. In order to reduce the residual absorption artifact (due to the fact that only one data set is used) the original algorithm presented by A. V. Bronnikov is amended by adding in the filter a factor found by using a semi empirical approach. The quality of the reconstruction is largely sufficient for optimal segmentation and further postprocessing even though the filter correction is based on assumption of constant absorption. This one step approach allows keeping radiation dose to the minimum. Spatial resolution is comparable to the conventional absorption based technique. The performance of the method is validated by using an established phase contrast technique.

High-Resolution Phase-Contrast Imaging of Submicron Particles in Unstained Lung Tissue

“…Absorption contrast data sets were reconstructed using regridding techniques [11]. The modified Bronnikov algorithm was applied for the reconstruction of the phase contrast data sets [12]. 3D-visualizations were obtained using the software Imaris (Bitplane, Zürich, Switzerland).…”

Phase Contrast Computed Tomography

“…as suggested by Groso et al (2006), who named this algorithm the Modified Bronnikov Algorithm (MBA). A similar algorithm, the TIE phase retrieval, was derived by Paganin et al (2002) and successfully applied by Mayo et al (2003).…”

Tomographic Hard X-ray Phase Contrast Micro- and Nano-imaging at TOMCAT

“…By adding in the denominator an absorption dependent correction factor, the filter is renormalized at zero frequencies and it has been shown that the residual artifacts induced by the nonzero absorption of real samples can be successfully eliminated [6]. This approach allows obtaining information about mixed, weakly absorbing-phase objects.…”