scholarly journals X-ray Imaging Investigation on the Gilding Technique of an Ancient Egyptian Taweret Wooden Statuette

2021 ◽  
Vol 7 (11) ◽  
pp. 229
Author(s):  
Luisa Vigorelli ◽  
Alessandro Re ◽  
Laura Guidorzi ◽  
Tiziana Cavaleri ◽  
Paola Buscaglia ◽  
...  
Keyword(s):  
Imaging Techniques ◽  
Imaging Study ◽  
Ancient Egypt ◽  
X Ray ◽  
Ancient Egyptian ◽  
X Ray Imaging ◽  
Investigation Methods ◽  
The One ◽  
Technical Features ◽  
Tomographic Analysis

Diagnostic physical methods are increasingly applied to Cultural Heritage both for scientific investigations and conservation purposes. In particular, the X-ray imaging techniques of computed tomography (CT) and digital radiography (DR) are non-destructive investigation methods to study an object, being able to give information on its inner structure. In this paper, we present the results of the X-ray imaging study on an ancient Egyptian statuette (Late Period 722–30 BCE) belonging to the collection of Museo Egizio in Torino and representing an Egyptian goddess called Taweret, carved on wood and gilded with some colored details. Since few specific studies have been focused on materials and techniques used in Ancient Egypt for gilding, a detailed investigation was started in order to verify the technical features of the decoration in this sculpture. Specifically, DR and CT analyses have been performed at the Centro Conservazione e Restauro “La Venaria Reale” (CCR), with a new high resolution flat-panel detector, that allowed us to perform tomographic analysis reaching a final resolution better than the one achievable with the previous apparatus operating in the CCR.

scholarly journals X-Ray Imaging Techniques Appraisal: Pathway to Sustainable Health Status

2021 ◽  
Vol 655 (1) ◽  
pp. 012073
Author(s):  
J. A. Achuka ◽  
M. R. Usikalu ◽  
M. A. Aweda ◽  
O. A. Olowoyeye ◽  
C. A. Enemuwe ◽  
...  
Keyword(s):  
Health Status ◽  
Imaging Techniques ◽  
X Ray ◽  
X Ray Imaging ◽  
Sustainable Health

scholarly journals Truncated Inception Net: COVID-19 Outbreak Screening using Chest X-rays

2020 ◽  
Author(s):  
Dipayan Das ◽  
KC Santosh ◽  
Umapada Pal
Keyword(s):  
Neural Network ◽  
World Wide ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Ct Scans ◽  
X Rays ◽  
X Ray ◽  
X Ray Imaging ◽  
Proposed Model ◽  
Different Types

Abstract Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in less than a couple of months, and the infection, caused by SARS-CoV-2, is spreading at an unprecedented rate. AI-driven tools are used to identify Coronavirus outbreaks as well as forecast their nature of spread, where imaging techniques are widely used, such as CT scans and chest X-rays (CXRs). In this paper, motivated by the fact that X-ray imaging systems are more prevalent and cheaper than CT scan systems, a deep learning-based Convolutional Neural Network (CNN) model, which we call Truncated Inception Net, is proposed to screen COVID-19 positive CXRs from other non-COVID and/or healthy cases. To validate our proposal, six different types of datasets were employed by taking the following CXRs: COVID-19 positive, Pneumonia positive, Tuberculosis positive, and healthy cases into account. The proposed model achieved an accuracy of 99.96% (AUC of 1.0) in classifying COVID- 19 positive cases from combined Pneumonia and healthy cases. Similarly, it achieved an accuracy of 99.92% (AUC of 0.99) in classifying COVID-19 positive cases from combined Pneumonia, Tuberculosis and healthy CXRs. To the best of our knowledge, as of now, the achieved results outperform the existing AI-driven tools for screening COVID-19 using CXRs.

scholarly journals Bent Laue crystal anatomy: new insights into focusing and energy-dispersion properties

2021 ◽  
Vol 54 (2) ◽  
pp. 409-426
Author(s):  
Peng Qi ◽  
Xianbo Shi ◽  
Nazanin Samadi ◽  
Dean Chapman
Keyword(s):  
Ray Tracing ◽  
Imaging Techniques ◽  
Point Of View ◽  
Energy Dispersion ◽  
General Behaviour ◽  
X Ray ◽  
Spatial Properties ◽  
X Ray Imaging ◽  
Special Cases ◽  
Intuitive View

X-ray Laue-type monochromators are common and essential optical components at many high-power X-ray facilities, e.g. synchrotron facilities. The X-ray optics of bent Laue crystals is a well developed area. An incident X-ray beam penetrating a bent Laue crystal will result in a diffracted beam with different angles and energies. There is a need for a way of organizing the rays that allows one to sort out the energy and spatial properties of the diffracted beam. The present work introduces a new approach for describing the general behaviour of bent Laue crystals from a ray-tracing point of view. This quasi-monochromatic beam approach provides an intuitive view of bent-crystal diffraction and leads to deeper understanding. It explains the energy and spatial properties of common and special cases of bent Laue optics, predicts phenomena that can improve energy-dispersion-related X-ray imaging techniques and provides a theoretical framework that makes ray-tracing simulation easier to realize.

In-Situ/Operando Synchrotron X-ray Imaging Techniques for Energy-Related Applications

2021 ◽  
pp. 223-247
Author(s):  
Lei Du ◽  
Nan Sun ◽  
Yajie Song ◽  
Hanwen An ◽  
Jian Liu
Keyword(s):  
Imaging Techniques ◽  
X Ray ◽  
X Ray Imaging

High-resolution monochromatic X-ray imaging techniques applied to Shenguang Ⅱ laser facility

2013 ◽  
Vol 25 (12) ◽  
pp. 3119-3122 ◽  
Author(s):  
陈伯伦 Chen Bolun ◽  
杨正华 Yang Zhenghua ◽  
韦敏习 Wei Minxi ◽  
邓博 Deng Bo ◽  
苏明 Su Ming ◽  
...  
Keyword(s):  
High Resolution ◽  
Imaging Techniques ◽  
X Ray ◽  
X Ray Imaging ◽  
Laser Facility

scholarly journals Particle coating alters mucociliary transit in excised rat trachea: A synchrotron X-ray imaging study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Mark Gardner ◽  
Alexandra McCarron ◽  
Kaye Morgan ◽  
David Parsons ◽  
Martin Donnelley
Keyword(s):  
Imaging Study ◽  
X Ray ◽  
Particle Coating ◽  
X Ray Imaging ◽  
Rat Trachea

scholarly journals Optimization of the energy for Breast monochromatic absorption X-ray Computed Tomography

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Pasquale Delogu ◽  
Vittorio Di Trapani ◽  
Luca Brombal ◽  
Giovanni Mettivier ◽  
Angelo Taibi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Imaging Techniques ◽  
Fixed Dose ◽  
X Rays ◽  
Reconstruction Algorithms ◽  
Contrast Resolution ◽  
X Ray ◽  
X Ray Imaging ◽  
X Ray Computed ◽  
Dose Levels

Abstract The limits of mammography have led to an increasing interest on possible alternatives such as the breast Computed Tomography (bCT). The common goal of all X-ray imaging techniques is to achieve the optimal contrast resolution, measured through the Contrast to Noise Ratio (CNR), while minimizing the radiological risks, quantified by the dose. Both dose and CNR depend on the energy and the intensity of the X-rays employed for the specific imaging technique. Some attempts to determine an optimal energy for bCT have suggested the range 22 keV–34 keV, some others instead suggested the range 50 keV–60 keV depending on the parameters considered in the study. Recent experimental works, based on the use of monochromatic radiation and breast specimens, show that energies around 32 keV give better image quality respect to setups based on higher energies. In this paper we report a systematic study aiming at defining the range of energies that maximizes the CNR at fixed dose in bCT. The study evaluates several compositions and diameters of the breast and includes various reconstruction algorithms as well as different dose levels. The results show that a good compromise between CNR and dose is obtained using energies around 28 keV.

Examining Effects of Sulfur Poisoning on Ni/YSZ Solid Oxide Fuel Cell Anodes Using Synchrotron-Based X-Ray Imaging Techniques

2013 ◽  
Author(s):  
William M. Harris ◽  
Jeffrey J. Lombardo ◽  
George J. Nelson ◽  
Wilson K. S. Chiu ◽  
Barry Lai ◽  
...  
Keyword(s):  
Solid Oxide Fuel Cells ◽  
Imaging Techniques ◽  
Solid Oxide ◽  
Sulfur Poisoning ◽  
Oxide Fuel ◽  
Stabilized Zirconia ◽  
X Ray ◽  
Fuel Flexibility ◽  
X Ray Imaging ◽  
Ppm Level

Fuel flexibility is widely considered one of the most significant advantages of solid oxide fuel cells (SOFC). However, the presence of small amounts of sulfur or other impurities in the gas stream can have a serious impact on cell performance [1–10]. Under certain conditions, hydrogen sulfide (H2S), even at the ppm level, can lead to the formation of bulk nickel-sulfides within the conventional Ni–yttria-stabilized zirconia (Ni-YSZ) anode of SOFC’s [9]. Understanding the distribution of these sulfides is critical to describing their effects on the electrochemical activity of the cell.

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