A universal reconstruction method for X ray scattering tensor tomography based on wavefront modulation

TL;DR

This paper introduces a versatile, wavefront modulation-based reconstruction method for X-ray scattering tensor tomography, enabling full-field imaging with adjustable resolution and sensitivity, applicable across multiple modalities.

Contribution

It presents a novel, mathematically tunable algorithm for X-ray tensor tomography that works with various wavefront modulators and enhances dark-field imaging capabilities.

Findings

Successful application to three imaging modalities

Demonstrated potential for speckle-based tensor tomography

Flexible tuning of spatial resolution and sensitivity

Abstract

We present a versatile method for full-field, X-ray scattering tensor tomography that is based on energy conservation and is applicable to data obtained using different wavefront modulators. Using this algorithm, we pave the way for speckle-based tensor tomography. The proposed model relies on a mathematical approach that allows tuning spatial resolution and signal sensitivity. We present the application of the algorithm to three different imaging modalities and demonstrate its potential for applications of X-ray directional dark-field imaging.