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Enhanced high-spatial resolution radiographic images based on COTS CMOS image sensors applied to wood dendrochronology and densitometry
Resumen
The imaging of wood samples using X-rays for the study of dendrochronology and densitometry is predominantly conducted through analog films subsequently digitized or, in more advanced instances, with expensive flat-panel systems characterized by resolutions on the order of tenths of microns. For this reason, this work proposes as an alternative the utilization of Commercial-Off-The-Shelf (COTS) complementary metal–oxide–semiconductor (CMOS) image sensors
[ver mas...]
The imaging of wood samples using X-rays for the study of dendrochronology and densitometry is predominantly conducted through analog films subsequently digitized or, in more advanced instances, with expensive flat-panel systems characterized by resolutions on the order of tenths of microns. For this reason, this work proposes as an alternative the utilization of Commercial-Off-The-Shelf (COTS) complementary metal–oxide–semiconductor (CMOS) image sensors as affordable direct detectors for the acquisition of 10.2
resolution radiographic images, which represents sufficient resolution to observe the small structures formed by wood cells called tracheids. The raw images are subsequently processed to mitigate the impact of non-uniformities inherent in pixel response, including the total dose effects, and artifacts present in the image generated by irregularities and defects in the materials utilized to support the wood samples. Moreover, an exhaustive study of the sensor response over different x-ray tube voltage was performed, comparing the results obtained with a simple calculation model and finding a negligible contribution of the photons above the 20
. The model was developed based on diverse analyses of geometry and composition of the sensor, such as Focus Ion Beam, Scanning Electron Microscopy, and Time-of-Flight Secondary Ion Mass Spectrometry, and takes into account the X-ray beam attenuations and the photon interaction with the sensor. Finally, this model enables the estimation of the transmission based on the density and thickness of the wood samples.
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Autor
Corzi, Damian Leonel;
Lipovetzky, Jose;
Alcalde Bessia, Fabricio Pablo;
Baqué, Laura;
Sergent, Anne Sophie Marie;
Pérez, Martín;
Sofo Haro, Miguel;
Artola Vinciguerra, Ignacio Carlos;
Martinez Meier, Alejandro;
Dalla Salda, Guillermina;
Varela, Santiago Agustin;
Gómez Berisso, Mariano;
Fuente
Radiation Measurements 172 : 107085. (March 2024)
Fecha
2024-03
Editorial
Elsevier
ISSN
1350-4487
1879-0925
1879-0925
Formato
pdf
Tipo de documento
artículo
Palabras Claves
Derechos de acceso
Restringido
