Jun 8 – 10, 2021
Europe/Rome timezone

X-ray Grating Interferometry design for the 4D GRAPH-X system

Jun 9, 2021, 3:15 PM
20m
Contribution type Session

Speaker

Alessandra Patera (TO)

Description

Corresponding author email: alessandra.patera@to.infn.it

Keywords: X-ray grating interferometer, Talbot-Lau, phase-contrast, wave front simulation.

Purpose: The 4D GRAPH-X (Dynamic GRAting-based PHase contrast X-ray imaging) project aims at developing a prototype of an X-ray grating-based phase-contrast imaging scanner in a laboratory setting, based on the Moirè single-shot acquisition method. It is optimized for analysing moving objects, so that it could evolve into a suitable tool for biomedical applications (with main focus on lung imaging [1-4]). The system provides information about the spatial distribution of the linear attenuation coefficient, the phase-shift (i.e., the refractive index decrement) and the scattering properties of the sample (namely, the dark-field signal), generating three independent 3D images with a simultaneous acquisition [5]. Wave field simulations are performed in order to optimize the geometric parameters and construct a high resolution and sensitive imaging setup. In this work, the design and construction of a dynamic imaging setup using a conventional milli-focus X-ray source is presented.

Materials and Method: The 4D GRAPH-X system for X-ray phase-contrast imaging based on Talbot-Lau grating interferometry, installed in a radiation-protected area of the Physics Department at the University of Torino, Italy, is at the moment the only lab-setting for grating-based phase-contrast X-ray imaging in Italy. The system consists of a source, a detector and a set of three gratings: G0, G1 and G2 gratings. The X-ray source is an ordinary GE Eresco 160 MF4-R X-ray tube with a millimetric focal spot size and a tungsten anode. A 0.5 mm thick Titanium filter is inserted in front of the source in order to model the energy spectrum with a peak around the design energy (i.e., 45 keV). The detector is a flat panel with a CMOS active part with a 114 × 146 mm2 sensitive area and a 49.5 μm pixel pitch. The gratings were fabricated by bottom up electroplating of Au into Silicon structures etched by deep reactive ion etching [6]. Grating structure and inter-grating distances are defined by simulations. A schematic view of the setup is reported in Fig.1. As a specimen, a 3 cm thick and 5 cm long anthropomorphic dynamic thorax phantom, similar to the one described in [7], is under construction in collaboration with the University of Florence. The phantom simulates a male torso containing moving structures capable of reproducing realistic lung lesions movements. While the external phantom surface is 3D printed using as reference a real patient CT acquisition (and then rescaled to a small phantom size to be suitable with the 4D GRAPH-X system), internal parts are made with materials mimicking lungs, muscles and ribs density and attenuation. Water Equivalent Inserts (WEIs) simulating spherical tumors can be positioned into the lungs in different locations. An Arduino programmable board drives a step-motor to move the spheres along linear paths.

Results and discussion: Optimization by wave front simulations led to a symmetric configuration with 5.25 μm pitch at third Talbot distance and 45 keV design energy. The spectral visibility responses at 1.5 m source-to-detector distance at the three T.O. are shown in Fig. 2. The mean visibility is of the same order of magnitude in the first three T.O. (specifically, 1: 25%, 3: 22%; 5: 24%). The main sources of errors on the visibility values depend not only on the photon statistics but also on the number of phase steps, the actual phase shift and the interferometer type. In a lab-setting, it is recommended to acquire at least 7 steps to keep the error below 1% [8]. The optimized grating parameters are used in the Monte Carlo simulation in order to estimate the transmission percentage after each system element. Results show a transmission percentage of about 20% after passing through all the gratings and the phantom. The simulated system performance is being validated both using a table-top setup at PSI and at the University of Torino, as noise in phase contrast imaging is highly dependent on the visibility. The system parameters are tuned in order to investigate the potential of the setup for dynamic imaging in view of future applications in lung imaging.

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Figure 1: Schematic view of the 4D GRAPH-X system.

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Figure 2: Spectral visibility as a function of the energy for T.O. = 1, 3, 5. Gratings pitch: 5.25 μm at 45 keV energy.

Acknowledgment: The present work was developed in the framework of the INFN Young researchers program 4D GRAPH-X. We acknowledge the NEXTO project (progetti di Ateneo 2017), funded by Compagnia di San Paolo, and the INFN Torino mechanical services, in particular Giuseppe Scalise who provided the mechanical drawing of the system.

Bibliography:
1 Scherer K et al 2017 X-ray dark-field radiography-in vivo diagnosis of lung cancer in mice Sci. Rep. 7 402.
2 Gromann L B et al 2017a In vivo x-ray dark-field chest radiography of a pig Sci. Rep. 7 4807.
[3] Gromann L B et al 2017b First experiences with in vivo x-ray dark-field imaging of lung cancer in mice SPIE Medical Imaging (International Society for Optics and Photonics) p 101325L.
[4] Willer K et al 2018 X-ray dark-field imaging of the human lung: a feasibility study on a deceased body PLoS One 13 e0204565.
[5] Pfeiffer F et al 2006 Phase retrieval and differential phase contrast imaging with low-brilliance x-ray sources Nat. Phys.2258–61.
[6] Josell D et al 2020 Pushing the Limits of Bottom-Up Gold Filling for X-ray Grating Interferometry J. Electrochem. Soc., 167, 132504.
[7] Pallotta S et al 2018 ADAM: A breathing phantom for lung SBRT quality assurance, Phys. Med., 49:147-155.
[8] Thüring T 2013 Compact X-ray grating interferometry for phase and dark-field computed tomography in the diagnostic energy range. ETH PhD thesis.

Primary author

Co-authors

Dr Carolina Arboleda (Swiss Light Source, Paul Scherrer Institute (PSI), Villigen Switzerland. ) Dr Silvia Calusi (University of Florence, Department of Experimental and Clinical Biomedical Sciences, Italy.) Veronica Ferrero (TO) Elisa Fiorina (Istituto Nazionale di Fisica Nucleare) Dr Konstantins Jefimovs (Swiss Light Source, Paul Scherrer Institute (PSI), Villigen Switzerland. ) Dr Daniel Josell (Materials Science and Engineering Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, USA.) Mr Riccardo Lisci (University of Florence, Department of Agricolture, Food Enviroment and Forestry, Florence, Italy) Alessandro Lo Giudice (TO) Felix Mas Milian (TO) Paolo Mereu (TO) Dr Thomas Moffat (Materials Science and Engineering Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, USA.) Stefania Pallotta (FI) Dr Maxim Polikarpov (ETH Zurich, Department of Information Technology and Electrical Engineering, Zurich, Switzerland.) Luciano Ramello (TO) Alessandro Re (TO) Prof. Marco Stampanoni (Swiss Light Source, Paul Scherrer Institute (PSI), Villigen Switzerland. ) Dr Zhitian Shi (Swiss Light Source, Paul Scherrer Institute (PSI), Villigen Switzerland. ) Lorenzo Visca (TO) Piergiorgio Cerello (TO)

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