X-Ray Imaging Methods

Author(s):  
Michele Piana ◽  
A. Gordon Emslie ◽  
Anna Maria Massone ◽  
Brian R. Dennis
Keyword(s):  
X Ray ◽  
JOM ◽  
2016 ◽  
Vol 68 (12) ◽  
pp. 3042-3050 ◽  
Author(s):  
W. H. Sillekens ◽  
D. Casari ◽  
W. U. Mirihanage ◽  
S. Terzi ◽  
R. H. Mathiesen ◽  
...  

2018 ◽  
Vol 48 ◽  
pp. 1860107 ◽  
Author(s):  
Theodor Ignat ◽  
Roxana Bugoi ◽  
Florin Constantin ◽  
Valentin Parnic ◽  
Cătălin Lazăr

This paper reports the use of experimental archaeology and imaging methods—X-ray computed tomography (CT) and radiography—that were employed to decipher the manufacturing techniques of Eneolithic clay artefacts. This study was triggered by the archaeological research conducted in some tell settlements in Southeastern Romania that belong to the Kodjadermen-Gumelniţa-Karanovo VI culture (c. 4500–3900 BC). The findings reported here represent the first accounts of a recently started research project, which has as its main goal the re-creation of Eneolithic clay artefacts and the identification of the chaîne opératoire used for manufacturing these objects. In particular, X-ray imaging techniques were used as complementary methods to help understand the structure of intact Eneolithic artefacts. In a subsequent step of this research, these techniques will be employed to check for similarities between the archaeological items and modern pottery replicas created in experimental archaeology workshops.


2014 ◽  
Vol 30 (7) ◽  
pp. 1207-1223 ◽  
Author(s):  
Zdeněk Stárek ◽  
František Lehar ◽  
Jiří Jež ◽  
Jiří Wolf ◽  
Miroslav Novák

2021 ◽  
pp. 1-25
Author(s):  
Shuaifeng Lou ◽  
Fang Zhang ◽  
Han Wang ◽  
Jiajun Wang
Keyword(s):  
X Ray ◽  

2010 ◽  
Vol 25 (4) ◽  
pp. 544 ◽  
Author(s):  
Björn De Samber ◽  
Geert Silversmit ◽  
Karel De Schamphelaere ◽  
Roel Evens ◽  
Tom Schoonjans ◽  
...  

2020 ◽  
Vol 4 (2) ◽  
pp. 213-221
Author(s):  
Kun Li ◽  
Yu Chen ◽  
Rui Sun ◽  
Bei Yu ◽  
Gang Li ◽  
...  

IUCrJ ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 393-403
Author(s):  
Colin Nave

X-ray imaging of soft materials is often difficult because of the low contrast of the components. This particularly applies to frozen hydrated biological cells where the feature of interest can have a similar density to the surroundings. As a consequence, a high dose is often required to achieve the desired resolution. However, the maximum dose that a specimen can tolerate is limited by radiation damage. Results from 3D coherent diffraction imaging (CDI) of frozen hydrated specimens have given resolutions of ∼80 nm compared with the expected resolution of 10 nm predicted from theoretical considerations for identifying a protein embedded in water. Possible explanations for this include the inapplicability of the dose-fractionation theorem, the difficulty of phase determination, an overall object-size dependence on the required fluence and dose, a low contrast within the biological cell, insufficient exposure, and a variety of practical difficulties such as scattering from surrounding material. A recent article [Villaneuva-Perez et al. (2018), Optica, 5, 450–457] concluded that imaging by Compton scattering gave a large dose advantage compared with CDI because of the object-size dependence for CDI. An object-size dependence would severely limit the applicability of CDI and perhaps related coherence-based methods for structural studies. This article specifically includes the overall object size in the analysis of the fluence and dose requirements for coherent imaging in order to investigate whether there is a dependence on object size. The applicability of the dose-fractionation theorem is also discussed. The analysis is extended to absorption-based imaging and imaging by incoherent scattering (Compton) and fluorescence. This article includes analysis of the dose required for imaging specific low-contrast cellular organelles as well as for protein against water. This article concludes that for both absorption-based and coherent diffraction imaging, the dose-fractionation theorem applies and the required dose is independent of the overall size of the object. For incoherent-imaging methods such as Compton scattering, the required dose depends on the X-ray path length through the specimen. For all three types of imaging, the dependence of fluence and dose on a resolution d goes as 1/d 4 when imaging uniform-density voxels. The independence of CDI on object size means that there is no advantage for Compton scattering over coherent-based imaging methods. The most optimistic estimate of achievable resolution is 3 nm for imaging protein molecules in water/ice using lensless imaging methods in the water window. However, the attainable resolution depends on a variety of assumptions including the model for radiation damage as a function of resolution, the efficiency of any phase-retrieval process, the actual contrast of the feature of interest within the cell and the definition of resolution itself. There is insufficient observational information available regarding the most appropriate model for radiation damage in frozen hydrated biological material. It is advocated that, in order to compare theory with experiment, standard methods of reporting results covering parameters such as the feature examined (e.g. which cellular organelle), resolution, contrast, depth of the material (for 2D), estimate of noise and dose should be adopted.


2020 ◽  
Vol 10 (20) ◽  
pp. 7246
Author(s):  
Joni Hyttinen ◽  
Pauli Fält ◽  
Heli Jäsberg ◽  
Arja Kullaa ◽  
Markku Hauta-Kasari

The most common imaging methods used in dentistry are X-ray imaging and RGB color photography. However, both imaging methods provide only a limited amount of information on the wavelength-dependent optical properties of the hard and soft tissues in the mouth. Spectral imaging, on the other hand, provides significantly more information on the medically relevant dental and oral features (e.g. caries, calculus, and gingivitis). Due to this, we constructed a spectral imaging setup and acquired 316 oral and dental reflectance spectral images, 215 of which are annotated by medical experts, of 30 human test subjects. Spectral images of the subjects’ faces and other areas of interest were captured, along with other medically relevant information (e.g., pulse and blood pressure). We collected these oral, dental, and face spectral images, their annotations and metadata into a publicly available database that we describe in this paper. This oral and dental spectral image database (ODSI-DB) provides a vast amount of data that can be used for developing, e.g., pattern recognition and machine vision applications for dentistry.


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