Photon-counting, energy-resolving and super-resolution phase contrast X-ray imaging using an integrating detector

Fourier-transform ghost imaging with super-Rayleigh speckles

Ghost imaging based on the high-order correlation of optical field has developed rapidly and has been extended to the x-ray region. However, the limited flux leads to severe image deterioration. Here, an approach of Fourier-transform ghost imaging with super-Rayleigh speckles is proposed to realize high quality ghost imaging at low photon flux level. The super-Rayleigh speckles are designed by optimizing binary modulating screens based on the direct binary search algorithm. The experimental results show that the speckle contrast can be greatly enhanced and high visibility Fourier-transform diffraction pattern of the sample can be obtained. The sample's image in spatial domain is successfully achieved even if the detected photon level decreases to 0.1 photons/pixel. This method is of great importance for high-resolution imaging in the photon-limited scenarios, especially for laboratory x-ray systems.

Precise phase retrieval for propagation-based images using discrete mathematics

The ill-posed problem of phase retrieval in optics, using one or more intensity measurements, has a multitude of applications using electromagnetic or matter waves. Many phase retrieval algorithms are computed on pixel arrays using discrete Fourier transforms due to their high computational efficiency. However, the mathematics underpinning these algorithms is typically formulated using continuous mathematics, which can result in a loss of spatial resolution in the reconstructed images. Herein we investigate how phase retrieval algorithms for propagation-based phase-contrast X-ray imaging can be rederived using discrete mathematics and result in more precise retrieval for single- and multi-material objects and for spectral image decomposition. We validate this theory through experimental measurements of spatial resolution using computed tomography (CT) reconstructions of plastic phantoms and biological tissues, using detectors with a range of imaging system point spread functions (PSFs). We demonstrate that if the PSF substantially suppresses high spatial frequencies, the potential improvement from utilising the discrete derivation is limited. However, with detectors characterised by a single pixel PSF (e.g. direct, photon-counting X-ray detectors), a significant improvement in spatial resolution can be obtained, demonstrated here at up to 17%.

Indirect X-ray detectors with single-photon sensitivity

The new generation of synchrotron light sources are pushing X-ray detectors to their limits. Very demanding conditions with unprecedented flux and higher operating energies now require high-performance X-ray detectors combining sensitivity, efficiency and scalability. Over the years, hybrid pixel detectors have supplemented indirect detectors based on scintillation, with undeniable advantages. Such detectors based on silicon are, however, rather expensive to produce and are no more satisfying in terms of X-ray stopping power when targeting energies above 20 keV. An indirect detector with single X-ray photon sensitivity therefore offers promising opportunities for applications operating over a wide range of energies and fluxes. In this work, the performances of such an approach are investigated with state-of-the-art elements: a commercial sCMOS camera with fiber-optics plate coupling and a Gd₂O₂S:Tb powder-based scintillator. A simple method is presented for evaluation of the single X-ray photon detection limit and single X-ray sensitivity is demonstrated with the studied detector above 20 keV. Geant4 simulations also provide insight to better define the limiting factors. Finally, guidelines are provided for future R&D in the design and assembly of an innovative detector combining advantages of direct and indirect detection schemes.

Materials Separation via the Matrix Method Employing Energy-Discriminating X-ray Detection

The majority of lab-based X-ray sources are polychromatic and are not easily tunable, which can make the 3D quantitative analysis of multi-component samples challenging. The lack of effective materials separation when using conventional X-ray tube sources has motivated the development of a number of potential solutions including the application of dual-energy X-ray computed tomography (CT) as well as the use of X-ray filters. Here, we demonstrate the simultaneous decomposition of two low-density materials via inversion of the linear attenuation matrices using data from the energy-discriminating PiXirad detector. A key application for this method is soft-tissue differentiation which is widely used in biological and medical imaging. We assess the effectiveness of this approach using both simulation and experiment noting that none of the materials investigated here incorporate any contrast enhancing agents. By exploiting the energy discriminating properties of the detector, narrow energy bands are created resulting in multiple quasi-monochromatic images being formed using a broadband polychromatic source. Optimization of the key parameters for materials separation is first demonstrated in simulation followed by experimental validation using a phantom test sample in 2D and a small-animal model in 3D.

[A Method to Obtain a Sheet-like X-ray Phantom Made from Iodine Contrast Agent]

PURPOSE

A sheet-like X-ray phantom on which thin Iodine is uniformly coated was developed to facilitate the handling of iodined objects used in any X-ray imaging studies.

METHODS

The most recommendable protocol as follows: (1) prepare undiluted 240 mg/ml Iohexol-based contrast agent and drop around 1.6 g on a horizontal surface. (2) infiltrate the agent into a membrane filter (47 mm in diameter) from the secondary side. (3) one minute later, the excess liquid components should be removed by a softy absorbent paper, and the infiltrated membrane filter should be left until substantially dried.

RESULT

The dried membrane filter can be utilized as a sheet-like X-ray phantom on which the iodine of around 2.45 mg is almost uniformly distributed per 1 cm². However, since the iodine density is slightly higher on the periphery part of the sheet, less than 80% area of the entire sheet is recommended to be used from a viewpoint of the spatial uniformity.

CONCLUSION

In the practical experiments, the X-ray attenuation factor can be controlled by changing the stacking number of the sheet, and the spatial size and form can also be designed by cutting the sheet. This capability is expected to improve the efficiency of any X-ray experiments and quality control works that requires iodined materials.

On the Response of a Micro Non-Destructive Testing X-ray Detector

Certain imaging performance metrics are examined for a state-of-the-art 20 μm pixel pitch CMOS sensor (RadEye HR), coupled to a Gd₂O₂S:Tb scintillator screen. The signal transfer property (STP), the modulation transfer function (MTF), the normalized noise power spectrum (NNPS) and the detective quantum efficiency (DQE) were estimated according to the IEC 62220-1-1:2015 standard. The detector exhibits excellent linearity (coefficient of determination of the STP linear regression fit, R² was 0.9978), while its DQE peaks at 33% and reaches 10% at a spatial frequency of 3 cycles/mm, for the measured with a Piranha RTI dosimeter (coefficient of variation CV = 0.03%) exposure value of 28.1 μGy DAK (detector Air Kerma). The resolution capabilities of the X-ray detector under investigation were compared to other commercial CMOS sensors, and were found in every case higher, except from the previous RadEye HR model (CMOS-Gd₂O₂S:Tb screen pair with 22.5 μm pixel pitch) version which had slightly better MTF. The present digital imager is designed for industrial inspection applications, nonetheless its applicability to medical imaging, as well as dual-energy is considered and certain approaches are discussed in this respect.