Medipix3RX: Characterizing the Medipix3 Redesign With Synchrotron Radiation

Gimenez, E.N.; Ballabriga, R.; Blaj, G.; Campbell, M.; Dolbnya, Igor P.; Frodjh, Erik; Horswell, I.; Llopart, X.; Marchal, J.; McGrath, John; Omar, D.; Plackett, R.; Sawhney, Kawal; Tartoni, N.

doi:10.1109/tns.2015.2425227

Cited by 17 publications

(10 citation statements)

References 22 publications

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“…Measurements were carried out with the X-ray tube preheated to 24.2 ± 0.4 °C. Circular projections of over 360° were acquired using a WidePIX detector with 15 Medipix 3RX (fine-pitch) chips using 1 mm thick Si sensor material [ 33 ]. The detector temperature was 19.75 ± 0.12 °C.…”

Section: Methodsmentioning

confidence: 99%

New Composite Contrast Agents Based on Ln and Graphene Matrix for Multi-Energy Computed Tomography

et al. 2022

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The subject of the current research study is aimed at the development of novel types of contrast agents (CAs) for multi-energy computed tomography (CT) based on Ln–graphene composites, which include Ln (Ln = La, Nd, and Gd) nanoparticles with a size of 2–3 nm, acting as key contrasting elements, and graphene nanoflakes (GNFs) acting as the matrix. The synthesis and surface modifications of the GNFs and the properties of the new CAs are presented herein. The samples have had their characteristics determined using X-ray photoelectron spectroscopy, X-Ray diffraction, transmission electron microscopy, thermogravimetric analysis, and Raman spectroscopy. Multi-energy CT images of the La-, Nd-, and Gd-based CAs demonstrating their visualization and discriminative properties, as well as the possibility of a quantitative analysis, are presented.

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Section: Methodsmentioning

confidence: 99%

New Composite Contrast Agents Based on Ln and Graphene Matrix for Multi-Energy Computed Tomography

et al. 2022

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“…The trimming procedure takes a relatively long time, especially since it needs to be performed for all pixels separately. Therefore, algorithms have been developed to accelerate the trimming procedure [16] [17].…”

Section: A Asic Trimmingmentioning

confidence: 99%

Characterization of Seamless CdTe Photon Counting X-Ray Detector

Kauppinen¹,

Winkler²,

Lämsä³

et al. 2021

IEEE Trans. Instrum. Meas.

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Spectrally selective X-ray imaging provides improved material and tissue discrimination in comparison to state-of-art dual energy technologies that are commonly used in medical, industrial, and security applications. Cadmium Telluride (CdTe) and Cadmium Zinc Telluride (CdZnTe) based line scanners and small size two-dimensional X-ray sensors are emerging to the market, but the need for large scale panels is axiomatic. In this study, a seamless CdTe tile was developed that enables the implementation of large-sized, energy selective X-ray detector panels. The developed tile consists of a 64 × 64 pixel array (with 150 µm pitch) with a necessary substrate, ASIC, and CdTe crystal. The performance of the constructed seamless tile was characterized by focusing on spectral resolution and stability. In addition, a simple pixel trimming method that automates the equalization of each energy selective pixel was developed and analyzed.The obtained results suggest that the proposed concept of seamless (tileable) detector structures is a feasible approach to scale up panel sizes. The seamless tile shows comparable spectral resolution and stability performance with commercial CdTe sensors. The effect of tile to tile variation, the realization of a largescale panel, as well as the charge sharing performance, were left out of the scope and are to be studied in the next phase.

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“…a. The minor difference (<0.5%) is due to not correcting the source model for other potential detector effects such as incomplete charge collection, cadmium fluorescence, and charge sharing . In the poorly calibrated CT system, a large difference (25‐30%) was observed between the experimental and modeled counts.…”

Section: Discussionmentioning

confidence: 99%

Beam profile assessment in spectral CT scanners

Anjomrouz

Shamshad

Panta

et al. 2018

J Applied Clin Med Phys

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In this paper, we present a method that uses a combination of experimental and modeled data to assess properties of x‐ray beam measured using a small‐animal spectral scanner. The spatial properties of the beam profile are characterized by beam profile shape, the angular offset along the rotational axis, and the photon count difference between experimental and modeled data at the central beam axis. Temporal stability of the beam profile is assessed by measuring intra‐ and interscan count variations. The beam profile assessment method was evaluated on several spectral CT scanners equipped with Medipix3RX‐based detectors. On a well‐calibrated spectral CT scanner, we measured an integral count error of 0.5%, intrascan count variation of 0.1%, and an interscan count variation of less than 1%. The angular offset of the beam center ranged from 0.8° to 1.6° for the studied spectral CT scanners. We also demonstrate the capability of this method to identify poor performance of the system through analyzing the deviation of the experimental beam profile from the model. This technique can, therefore, aid in monitoring the system performance to obtain a robust spectral CT; providing the reliable quantitative images. Furthermore, the accurate offset parameters of a spectral scanner provided by this method allow us to incorporate a more realistic form of the photon distribution in the polychromatic‐based image reconstruction models. Both improvements of the reliability of the system and accuracy of the volume reconstruction result in a better discrimination and quantification of the imaged materials.

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Medipix3RX: Characterizing the Medipix3 Redesign With Synchrotron Radiation

Cited by 17 publications

References 22 publications

New Composite Contrast Agents Based on Ln and Graphene Matrix for Multi-Energy Computed Tomography

New Composite Contrast Agents Based on Ln and Graphene Matrix for Multi-Energy Computed Tomography

Characterization of Seamless CdTe Photon Counting X-Ray Detector

Beam profile assessment in spectral CT scanners

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