Academic literature on the topic 'X-rays – Digitization'

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Journal articles on the topic "X-rays – Digitization"

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Wilkinson, Clive, Mogens S. Lehmann, Flora Meilleur, Matthew P. Blakeley, Dean A. A. Myles, Stefan Vogelmeier, Michael Thoms, Michael Walsh, and Garry J. McIntyre. "Characterization of image plates for neutron diffraction." Journal of Applied Crystallography 42, no. 5 (August 1, 2009): 749–57. http://dx.doi.org/10.1107/s0021889809024856.

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A method to measure the overall gain and point-spread function of an image-plate detector system (converter, phosphor, readout electronics) online from single-crystal diffraction patterns is derived. Only with a knowledge of these quantities can one estimate without bias the true standard deviations of the observed integrated intensities of Bragg reflections measured with such a detector. The gain corrected for the point-spread function should ideally be approximately 1.0 to avoid loss of data or precision due to the upper and lower limits of digitization of the diffraction patterns. The gain and the point-spread function are derived for several configurations of the three neutron Laue image-plate diffractometers, LADI, VIVALDI and LADI-III, at the Institut Laue–Langevin. The detective quantum efficiencies (DQE) of these instruments have been measured to be 0.16 (1), 0.57 (2) and 0.46 (3), respectively. It has also been found that the DQE is effectively constant for different times of exposure, despite the fading of the photostimulated luminescent signal during that time. While the results described in this paper concern neutron detection by image plates, the method is equally valid for other integrating detectors and radiations,e.g.CCD detectors and X-rays.
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Karpenko, V. A., A. D. Khil’chenko, A. P. Lysenko, and V. E. Panchenko. "Multiframe digitization of x‐ray (TV) images (abstract)." Review of Scientific Instruments 60, no. 7 (July 1989): 2335. http://dx.doi.org/10.1063/1.1140760.

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Li, Zhou, Yang Xuan-dong, and Li Kai-yang. "Digitization and DICOM standardization of X-ray image signal." Wuhan University Journal of Natural Sciences 9, no. 4 (July 2004): 463–67. http://dx.doi.org/10.1007/bf02830444.

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KATO, SYOUSUKE, HISASHI YOSHITA, MAKOTO KURANISHI, HAJIME ITOH, KOUICHI MORI, and MINORU KONISHI. "1. PROBLEMS AND IMAGE PROCESSING IN X-RAY FILM DIGITIZATION." Japanese Journal of Radiological Technology 48, no. 11 (1992): 1991–96. http://dx.doi.org/10.6009/jjrt.kj00003500345.

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Newman, Justin A., Shijie Zhang, Shane Z. Sullivan, Ximeng Y. Dow, Michael Becker, Michael J. Sheedlo, Sergey Stepanov, et al. "Guiding synchrotron X-ray diffraction by multimodal video-rate protein crystal imaging." Journal of Synchrotron Radiation 23, no. 4 (May 16, 2016): 959–65. http://dx.doi.org/10.1107/s1600577516005919.

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Synchronous digitization, in which an optical sensor is probed synchronously with the firing of an ultrafast laser, was integrated into an optical imaging station for macromolecular crystal positioning prior to synchrotron X-ray diffraction. Using the synchronous digitization instrument, second-harmonic generation, two-photon-excited fluorescence and bright field by laser transmittance were all acquired simultaneously with perfect image registry at up to video-rate (15 frames s−1). A simple change in the incident wavelength enabled simultaneous imaging by two-photon-excited ultraviolet fluorescence, one-photon-excited visible fluorescence and laser transmittance. Development of an analytical model for the signal-to-noise enhancement afforded by synchronous digitization suggests a 15.6-fold improvement over previous photon-counting techniques. This improvement in turn allowed acquisition on nearly an order of magnitude more pixels than the preceding generation of instrumentation and reductions of well over an order of magnitude in image acquisition times. These improvements have allowed detection of protein crystals on the order of 1 µm in thickness under cryogenic conditions in the beamline. These capabilities are well suited to support serial crystallography of crystals approaching 1 µm or less in dimension.
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Ishimitsu, Yoshiyuki, and H. K. Huang. "Light photon equalization and its application to X-ray film digitization." Computerized Medical Imaging and Graphics 19, no. 2 (March 1995): 227–35. http://dx.doi.org/10.1016/0895-6111(95)00002-8.

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Choong, Miew Keen, Michel Bister, P. Sathyamoorthy, Zaharah, Hui Yee Boey, and Yen Chen Wong. "Recent progress in digital camera technology, and the digitization of X-ray films." International Congress Series 1256 (June 2003): 285–91. http://dx.doi.org/10.1016/s0531-5131(03)00456-4.

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Buckman, Jim, Carol Mahoney, Shereef Bankole, Gary Couples, Helen Lewis, Thomas Wagner, Christian März, Vladimir Blanco, and Dorrik Stow. "Workflow model for the digitization of mudrocks." Geological Society, London, Special Publications 484, no. 1 (August 14, 2018): 165–87. http://dx.doi.org/10.1144/sp484.2.

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AbstractMudrocks are highly heterogeneous in a range of physical and chemical properties, including: porosity and permeability, fissility, colour, particle composition, size, orientation, carbon loading, degree of compaction, and diagenetic overprint. It is therefore important that the maximum information be extracted as efficiently and completely as possible. This can be accomplished through high-resolution analysis of polished thin sections by scanning electron microscopy (SEM), with the collection of large-area images and X-ray elemental map montages, and the application of targeted particle analysis. A workflow model, based on these techniques, for the digitization of mudrocks is presented herein. A range of the data that can be collected and the variety of analyses that can be achieved are also illustrated. Data collection is discussed in terms of inherent problems with acquisition, storage, transfer and manipulation, which can be time-consuming and non-trivial. Similar information and resolutions can be achieved through other techniques, such as QEMSCAN and infra-red (IR)/Raman spectroscopic mapping. These can be seen as complementary to the workflow described herein.
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Rheinländer, Jørgen, Salim Abdali, and Elzbieta Zielinska-Rohozinska. "Digitization and Image Processing Methods for Enhancement and Quantification of Grazing-Incidence X-Ray Topographs." Journal of X-Ray Science and Technology 4, no. 2 (1994): 130–41. http://dx.doi.org/10.3233/xst-1994-4206.

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RHEINLANDER, J., S. ABDALI, and E. ZIELINSKAROHOZINSKA. "Digitization and image processing methods for enhancement and quantification of grazing-incidence X-ray topographs." Journal of X-Ray Science and Technology 4, no. 2 (June 1994): 130–41. http://dx.doi.org/10.1016/s0895-3996(05)80024-2.

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Dissertations / Theses on the topic "X-rays – Digitization"

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Mclean, Ivan Hugh. "An adaptive discrete cosine transform coding scheme for digital x-ray images." Thesis, Rhodes University, 1989. http://hdl.handle.net/10962/d1002032.

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The ongoing development of storage devices and technologies for medical image management has led to a growth in the digital archiving of these images. The characteristics of medical x-rays are examined, and a number of digital coding methods are considered. An investigation of several fast cosine transform algorithms is carried out. An adaptive cosine transform coding technique is implemented which produces good quality images using bit rates lower than 0.38 bits per picture element
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Book chapters on the topic "X-rays – Digitization"

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Kolanoski, Hermann, and Norbert Wermes. "Signal processing, readout and noise." In Particle Detectors, 711–94. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198858362.003.0017.

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The electronic readout and processing of detector signals, generated by radiation in detectors, is today by far the most common form of signal acquisition in particle physics. In this chapter typical procedures for electronic readout of detectors are discussed with special attention to small, noise-prone signals. An overview is given of standard techniques for signal processing, like amplification, pulse shaping, discrimination and digitization where also the new developments in microelectronics are discussed. In applications with high data rates, as at modern accelerator experiments or also in (X-ray) image processing, deadtimes can occur which are discussed in a dedicated section. Similarly, there is a section on wave guide properties of signal cable. Often the signals are so small, in particular those of semiconductor detectors, that electronic noise and its suppression play an important role.
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Conference papers on the topic "X-rays – Digitization"

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Albertin, F., E. Peccenini, Y. Hwu, Tsung-Tse Lee, E. B. L. Ong, J. H. Je, F. Kaplan, and G. Margaritondo. "The Venice “Archivio Di Stato”: innovating digitization with x-ray tomography." In 2015 Digital Heritage. IEEE, 2015. http://dx.doi.org/10.1109/digitalheritage.2015.7413825.

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Matsuura, D., H. Nakajima, E. Miyata, H. Tsunemi, J. P. Doty, and H. Ikeda. "Development of an ASIC employing delta-sigma digitization for readout of x-ray CCDs." In Optical Engineering + Applications, edited by Oswald H. W. Siegmund. SPIE, 2007. http://dx.doi.org/10.1117/12.733304.

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Korkmaz, Hayriye, and Sezgin Alsan. "A low cost medical image digitization setup for enhancement and analyzing of conventional X-ray images." In 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 2013. http://dx.doi.org/10.1109/icsipa.2013.6707984.

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Barone, Sandro, Alessandro Paoli, Armando V. Razionale, and Roberto Savignano. "3D Reconstruction of Individual Tooth Shapes by Integrating Dental CAD Templates and Patient-Specific Anatomy." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34362.

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The accurate reconstruction of a human digital dental model represents a wide research area within the orthodontic field due to its importance for the customization of patient treatments. Usually, 3-D dental root geometries are obtained by segmenting tomographic data. However, concerns about radiation doses may be raised since tomographic scans produce a greater X-ray dose than conventional 2-D panoramic radiographs (PAN). The present work is aimed at investigating the possibility to retrieve 3-D shape of individual teeth by exposing the patient to the minimum radiation dose. The proposed methodology is based on adapting general CAD templates over patient-specific dental anatomy, which is reconstructed by integrating the optical digitization of dental plaster models with a PAN image. The radiographic capturing process is simulated through the Discrete Radon Transform (DRT) and performed onto the patient crowns geometry obtained by segmenting the digital plaster model. A synthetic PAN image is then reconstructed and used to integrate the radiographic data within the digitized plaster model, thus allowing to retrieve roots information which guide the CAD templates adapting over the patient anatomy.
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