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Journal articles on the topic 'Tomography X-ray computed'

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1

Vamvakeros, Antonios, Simon D. M. Jacques, Marco Di Michiel, Pierre Senecal, Vesna Middelkoop, Robert J. Cernik, and Andrew M. Beale. "Interlaced X-ray diffraction computed tomography." Journal of Applied Crystallography 49, no. 2 (March 1, 2016): 485–96. http://dx.doi.org/10.1107/s160057671600131x.

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An X-ray diffraction computed tomography data-collection strategy that allows, post experiment, a choice between temporal and spatial resolution is reported. This strategy enables time-resolved studies on comparatively short timescales, or alternatively allows for improved spatial resolution if the system under study, or components within it, appear to be unchanging. The application of the method for studying an Mn–Na–W/SiO2 fixed-bed reactor in situ is demonstrated. Additionally, the opportunities to improve the data-collection strategy further, enabling post-collection tuning between statistical, temporal and spatial resolutions, are discussed. In principle, the interlaced scanning approach can also be applied to other pencil-beam tomographic techniques, like X-ray fluorescence computed tomography, X-ray absorption fine structure computed tomography, pair distribution function computed tomography and tomographic scanning transmission X-ray microscopy.
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2

Kalender, Willi A. "X-ray computed tomography." Physics in Medicine and Biology 51, no. 13 (June 20, 2006): R29—R43. http://dx.doi.org/10.1088/0031-9155/51/13/r03.

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3

Phillips,, D. H., and J. J. Lannutti. "X-ray computed tomography." NDT & E International 27, no. 2 (April 1994): 101. http://dx.doi.org/10.1016/0963-8695(94)90323-9.

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4

Michael, Greg. "X-ray computed tomography." Physics Education 36, no. 6 (October 19, 2001): 442–51. http://dx.doi.org/10.1088/0031-9120/36/6/301.

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5

Bonnet, S., A. Koenig, S. Roux, P. Hugonnard, R. Guillemaud, and P. Grangeat. "Dynamic X-ray computed tomography." Proceedings of the IEEE 91, no. 10 (October 2003): 1574–87. http://dx.doi.org/10.1109/jproc.2003.817868.

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6

Baird, Emily, and Gavin Taylor. "X-ray micro computed-tomography." Current Biology 27, no. 8 (April 2017): R289—R291. http://dx.doi.org/10.1016/j.cub.2017.01.066.

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7

Harding, G., J. Kosanetzky, and U. Neitzel. "X-ray diffraction computed tomography." Medical Physics 14, no. 4 (July 1987): 515–25. http://dx.doi.org/10.1118/1.596063.

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8

Buynak, C. F., and R. H. Bossi. "Applied X-ray computed tomography." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 99, no. 1-4 (May 1995): 772–74. http://dx.doi.org/10.1016/0168-583x(94)00615-6.

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9

Chen, Dongmei, Shouping Zhu, Xueli Chen, Tiantian Chao, Xu Cao, Fengjun Zhao, Liyu Huang, and Jimin Liang. "Quantitative cone beam X-ray luminescence tomography/X-ray computed tomography imaging." Applied Physics Letters 105, no. 19 (November 10, 2014): 191104. http://dx.doi.org/10.1063/1.4901436.

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10

HAYASHI, KAZUO. "High Resolution X-Ray Computed Tomography." RADIOISOTOPES 42, no. 12 (1993): 721–22. http://dx.doi.org/10.3769/radioisotopes.42.12_721.

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11

Qu, L. Z., O. Nalcioglu, W. W. Roeck, B. Rabbani, and M. Colman. "Video Based X-Ray Computed Tomography." IEEE Transactions on Nuclear Science 33, no. 1 (February 1986): 527–30. http://dx.doi.org/10.1109/tns.1986.4337158.

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12

Fu, Jian, Zhenzhong Liu, and Jingzheng Wang. "Multi-Mounted X-Ray Computed Tomography." PLOS ONE 11, no. 4 (April 13, 2016): e0153406. http://dx.doi.org/10.1371/journal.pone.0153406.

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13

Lusic, Hrvoje, and Mark W. Grinstaff. "X-ray-Computed Tomography Contrast Agents." Chemical Reviews 113, no. 3 (December 5, 2012): 1641–66. http://dx.doi.org/10.1021/cr200358s.

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14

Moroni, Giovanni, and Stefano Petrò. "Design for X-Ray Computed Tomography." Procedia CIRP 84 (2019): 173–78. http://dx.doi.org/10.1016/j.procir.2019.04.342.

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15

Samant, P., L. Trevisi, X. Ji, and L. Xiang. "X-ray induced acoustic computed tomography." Photoacoustics 19 (September 2020): 100177. http://dx.doi.org/10.1016/j.pacs.2020.100177.

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16

Kalender, Willi A. "Dose in x-ray computed tomography." Physics in Medicine and Biology 59, no. 3 (January 17, 2014): R129—R150. http://dx.doi.org/10.1088/0031-9155/59/3/r129.

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17

SCHNEIDER, G., E. ANDERSON, S. VOGT, C. KNÖCHEL, D. WEISS, M. LEGROS, and C. LARABELL. "COMPUTED TOMOGRAPHY OF CRYOGENIC CELLS." Surface Review and Letters 09, no. 01 (February 2002): 177–83. http://dx.doi.org/10.1142/s0218625x02001914.

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Soft X-ray microscopy has resolved 30 nm structures in biological cells. To protect the cells from radiation damage caused by X-rays, imaging of the samples has to be performed at cryogenic temperatures, which makes it possible to take multiple images of a single cell. Due to the small numerical aperture of zone plates, X-ray objectives have a depth of focus on the order of several microns. By treating the X-ray microscopic images as projections of the sample absorption, computed tomography (CT) can be performed. Since cryogenic biological samples are resistant to radiation damage, it is possible to reconstruct frozen-hydrated cells imaged with a full-field X-ray microscope. This approach is used to obtain three-dimensional information about the location of specific proteins in cells. To localize proteins in cells, immunolabeling with strongly X-ray absorbing nanoparticles was performed. With the new tomography setup developed for the X-ray microscope XM-1 installed at the ALS, we have performed tomography of immunolabeled frozen-hydrated cells to detect protein distributions inside of cells. As a first example, the distribution of the nuclear protein male-specific lethal 1 (MSL-1) in the Drosophila melanogaster cell was studied.
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18

Vavřík, D., T. Fíla, P. Koudelka, D. Kytýř, M. Macháček, V. Rada, J. Žemlička, and P. Zlámal. "X-ray computed tomography of the periodically moving object." Journal of Instrumentation 19, no. 01 (January 1, 2024): C01045. http://dx.doi.org/10.1088/1748-0221/19/01/c01045.

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Abstract X-ray computed tomography is a standard method of non-destructive testing of a wide range of static objects. In recent years, time-dependent tomography has been on the rise, for which it is necessary to acquire a series of tomographic data covering the event of interest. For slower processes, conventional laboratory X-ray computed tomography (CT) scanners can be used, while when events are faster, a very intense X-ray source is usually required. For high resolution requirements, the need for an intense X-ray source leads to the use of a synchrotron. An exception is tomographic tracking of periodic events. As will be shown, for these, a good quality reconstruction can be achieved even in the case of a relatively low-intensity X-ray source. To avoid blurring of the individual X-ray images by the motion of the object, the exposure time must be reasonably short. At motion rates of units of Hz, this time cannot be longer than tens of ms, this requirement naturally leads to low data statistics. Sufficient statistics is achieved by integrating images taken at an identical position of the moving object. A key requirement of such an approach is the precise synchronization of all active components of the system. The imaging detector must be capable of taking images on demand by hardware triggering with the capability of adequately short exposures. The ability of the CT system to investigate periodically moving objects will be demonstrated on the object oscillating harmonically at 3.81 Hz.
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19

Tomashevsky, I. O., and O. S. Kornikova. "The Importance of Radiation Methods in the Diagnosis of Coronary Heart Disease in a Specific Patient." MEDICAL RADIOLOGY AND RADIATION SAFETY 69, no. 2 (April 2024): 49–52. http://dx.doi.org/10.33266/1024-6177-2024-69-2-49-52.

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Purpose: Demonstrate a clinical observation in which to establish a diagnosis it was necessary to use eight methods for diagnosing coronary pathology, four of which are radiation. Material and methods: To establish a diagnosis in a cardiac patient with suspected coronary heart disease (CHD), post-infarction cardiosclerosis, echocardiography (ECG), Holter monitoring (HM), bicycle ergometry (VE), X-ray computed tomography (X-ray computed tomography) to determine calcification of the coronary arteries, single-photon selective computer tomography (SPECT), magnetic resonance computed tomography (MRI), positron emission computed tomography (PET), coronary angiography (CAG). Results: The sequential use of eight diagnostic methods, four from radiation, was established when observing cardiosclerosis with coronary heart disease, cardiosclerosis in the 4, 5, 10, and 11 segments of the heart, complicated by a left ventricular aneurysm in the lower and lateral walls with minor ischemia at the height of physical activity. The need to use SPECT/CT in the complex diagnosis of coronary heart disease consists of using hybrid tomography and sequentially performing two studies in one diagnostic procedure (X-ray computed tomography and SPECT with 99m Tc-technetril) it seems possible to obtain 26 study indicators (with X-ray computed tomography – 4 indicators assessing calcification of the coronary arteries, with SPECT – 11 indicators of perfusion and 11 indicators of myocardial function). Conclusion: A clinical observation of the diagnosis of coronary artery disease with post-infarction cardiosclerosis and left ventricular aneurysm was demonstrated in which eight diagnostic technologies were used (ECG, CM, VE, CT, SPECT, MRI, PET, and CAG), four of which relate to radiation diagnostics (X-ray CT, SPECT, PET, and KAG). A feature of sequential hybrid tomography (X-ray CT and SPECT with 99mTc-technitrile) is that this technology allows you to obtain 26 research indicators.
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20

Karahara, Ichirou, Daisuke Yamauchi, Kentaro Uesugi, and Yoshinobu Mineyuki. "Three-dimensional imaging of plant tissues using X-ray micro-computed tomography." PLANT MORPHOLOGY 27, no. 1 (2015): 21–26. http://dx.doi.org/10.5685/plmorphol.27.21.

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21

Foereid, Bente. "X-Ray Computed Tomography for Root Quantification." Open Journal of Soil Science 05, no. 07 (2015): 145–48. http://dx.doi.org/10.4236/ojss.2015.57014.

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22

MONKAWA, Akira, Hiroyuki CHIBA, Shinichi TOMIYAMA, and Syouhei TANIGUCHI. "Application Example of X-ray Computed Tomography." Journal of the Japan Society for Precision Engineering 82, no. 6 (2016): 518–22. http://dx.doi.org/10.2493/jjspe.82.518.

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23

Koizumi, Makoto. "X-ray computed tomography for laboratory animals." Drug Delivery System 30, no. 1 (2015): 55–58. http://dx.doi.org/10.2745/dds.30.55.

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24

Dabravolski, Andrei, Kees Joost Batenburg, and Jan Sijbers. "Adaptive zooming in X-ray computed tomography." Journal of X-Ray Science and Technology 22, no. 1 (2014): 77–89. http://dx.doi.org/10.3233/xst-130410.

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25

Morigi, Maria Pia, and Fauzia Albertin. "X-ray Digital Radiography and Computed Tomography." Journal of Imaging 8, no. 5 (April 21, 2022): 119. http://dx.doi.org/10.3390/jimaging8050119.

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26

Nagata, Yasuaki. "X-ray Computed Tomography Using Synchrotron Radiation." Materia Japan 35, no. 3 (1996): 250–54. http://dx.doi.org/10.2320/materia.35.250.

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27

Hiriyannaiah, H. P. "X-ray computed tomography for medical imaging." IEEE Signal Processing Magazine 14, no. 2 (March 1997): 42–59. http://dx.doi.org/10.1109/79.581370.

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28

Bieberle, Martina, Frank Barthel, Hans-Jürgen Menz, Hans-Georg Mayer, and Uwe Hampel. "Ultrafast three-dimensional x-ray computed tomography." Applied Physics Letters 98, no. 3 (January 17, 2011): 034101. http://dx.doi.org/10.1063/1.3534806.

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29

Xin Liu, Qimei Liao, and Hongkai Wang. "Fast X-Ray Luminescence Computed Tomography Imaging." IEEE Transactions on Biomedical Engineering 61, no. 6 (June 2014): 1621–27. http://dx.doi.org/10.1109/tbme.2013.2294633.

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30

Hunt, P. K., P. Engler, and W. D. Friedman. "Industrial Applications of X-Ray Computed Tomography." Advances in X-ray Analysis 31 (1987): 99–105. http://dx.doi.org/10.1154/s0376030800021893.

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Computed tomography (CT), commonly known as CAT scanning (computerized axial tomography), is a technology that produces an image of the internaI structure of a cross sectional slice through an object via the reconstruction of a matrix of X-ray attenuation coefficients. This non-destructive method is fast (50 ms to 7 min per image depending on the technological generation of the instrument) and requires minimal sample preparation. Images are generated from digital computations, and instruments essentially have a linear response. This allows quantitative estimations of density variations, dimensions and areas directly from console displays.
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31

Wijesekera, N. T., M. K. Duncan, and S. P. G. Padley. "X-ray computed tomography of the heart." British Medical Bulletin 93, no. 1 (November 17, 2009): 49–67. http://dx.doi.org/10.1093/bmb/ldp043.

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32

Ijiri, Takashi, Shin Yoshizawa, Hideo Yokota, and Takeo Igarashi. "Flower modeling via X-ray computed tomography." ACM Transactions on Graphics 33, no. 4 (July 27, 2014): 1–10. http://dx.doi.org/10.1145/2601097.2601124.

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33

de Jonge, Martin D., Andrew M. Kingston, Nader Afshar, Jan Garrevoet, Robin Kirkham, Gary Ruben, Glenn R. Myers, et al. "Spiral scanning X-ray fluorescence computed tomography." Optics Express 25, no. 19 (September 15, 2017): 23424. http://dx.doi.org/10.1364/oe.25.023424.

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34

Winter, J. M., R. E. Green, A. M. Waters, and W. H. Green. "X-Ray Computed Tomography of Ultralightweight Metals." Research in Nondestructive Evaluation 11, no. 1 (1999): 199–211. http://dx.doi.org/10.1080/09349849908968156.

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35

Winter, J. M., R. E. Green, A. M. Waters, and W. H. Green. "X-Ray Computed Tomography of Ultralightweight Metals." Research in Nondestructive Evaluation 11, no. 4 (January 1999): 199–211. http://dx.doi.org/10.1080/09349849909409642.

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36

Garcea, S. C., Y. Wang, and P. J. Withers. "X-ray computed tomography of polymer composites." Composites Science and Technology 156 (March 2018): 305–19. http://dx.doi.org/10.1016/j.compscitech.2017.10.023.

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37

Georgeson, G. E., R. H. Bossi, and R. D. Rempt. "X-ray computed tomography for casting demonstration." NDT & E International 27, no. 2 (April 1994): 101. http://dx.doi.org/10.1016/0963-8695(94)90318-2.

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38

Bossi, R., A. Crews, G. Georgeson, J. Nelson, and J. Shrader. "X-ray computed tomography for geometry acquisition." NDT & E International 27, no. 2 (April 1994): 102. http://dx.doi.org/10.1016/0963-8695(94)90326-3.

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39

Georgeson, G. E., A. R. Crews, and R. H. Bossi. "X-ray computed tomography for casting development." NDT & E International 27, no. 2 (April 1994): 102. http://dx.doi.org/10.1016/0963-8695(94)90331-x.

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40

Bossi, R. H., A. R. Crews, and G. E. Georgeson. "X-ray computed tomography for failure analysis." NDT & E International 27, no. 2 (April 1994): 102. http://dx.doi.org/10.1016/0963-8695(94)90332-8.

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41

Bossi, R. H., K. K. Cooprider, and G. E. Georgeson. "49209 X-ray computed tomography of composites." NDT & E International 27, no. 2 (April 1994): 109. http://dx.doi.org/10.1016/0963-8695(94)90394-8.

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42

Torrance, J. K., T. Elliot, R. Martin, and R. J. Heck. "X-ray computed tomography of frozen soil." Cold Regions Science and Technology 53, no. 1 (June 2008): 75–82. http://dx.doi.org/10.1016/j.coldregions.2007.04.010.

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43

Fujimoto, Hiroyuki, Makoto Abe, Sonko Osawa, Osamu Sato, and Toshiyuki Takatsuji. "Development of Dimensional X-Ray Computed Tomography." International Journal of Automation Technology 9, no. 5 (September 5, 2015): 567–71. http://dx.doi.org/10.20965/ijat.2015.p0567.

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Recently, a strong need has arisen for a dimensional X-ray computed tomography system that is capable of dimensional measurements. This is because the speedy realization of dimensional measurements for outward forms and inward forms on dense spatial points remarkably simplifies and accelerates production loop. However, although the image obtained via XCT describes the structure clearly and in great detail, dimensional metrology by means of XCT is not simple. The National Metrology Institute of Japan has been carrying out performance tests using gauges that include the gauges proposed in ISO10360. In this work, the magnification variation correction is carefully presented, and a maximum deviation of less than 5 μm is shown to be possible by means of the measurement of the forest phantom of 27 ruby spheres, the locations of which are calibrated by the coordinate measuring machine.
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44

Ichikawa, Katsuhiro. "9. Virtual Monochromatic X-ray Computed Tomography." Japanese Journal of Radiological Technology 76, no. 2 (2020): 237–41. http://dx.doi.org/10.6009/jjrt.2020_jsrt_76.2.237.

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45

Cranage, R. W., and P. S. Tofts. "Ring artefacts in X-ray computed tomography." British Journal of Radiology 61, no. 726 (June 1988): 529. http://dx.doi.org/10.1259/0007-1285-61-726-529-a.

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46

Bech, M., O. Bunk, T. Donath, R. Feidenhans'l, C. David, and F. Pfeiffer. "Quantitative x-ray dark-field computed tomography." Physics in Medicine and Biology 55, no. 18 (August 31, 2010): 5529–39. http://dx.doi.org/10.1088/0031-9155/55/18/017.

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47

Grabmaier, B. C., and W. Rossner. "New scintillators for X-ray computed tomography." Nuclear Tracks and Radiation Measurements 21, no. 1 (January 1993): 43–45. http://dx.doi.org/10.1016/1359-0189(93)90043-9.

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48

Grabmaier, B. C., W. Rossner, and J. Leppert. "Ceramic scintillators for X-Ray computed tomography." Physica Status Solidi (a) 130, no. 2 (April 16, 1992): K183—K187. http://dx.doi.org/10.1002/pssa.2211300242.

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49

Saleh H. Alyami, Ali, Munassar Dakkam Lasloom, Marzouq Hadi Dakkam Lesloum, Ali Fohid Mohamad Al Mutarid, Saleh Hadi Hussein Alyami, Hamad Li Salem Al Batnain, and Salem Ali Salem Al Batnain. "SIMPLE PHYSICAL PRINCIPLES AND MEDICAL USES OF COMPUTED TOMOGRAPHY (CT) SCAN A NEW ASSESSMENT." International Journal of Advanced Research 11, no. 07 (July 31, 2023): 1045–54. http://dx.doi.org/10.21474/ijar01/17316.

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The development of X-ray computed tomography (CT) has been founded on the discovery of X-rays, the inception of the Radon transform, and the growth of X-ray digital data acquisition systems and computer knowledge. Dissimilar conventional X-ray imaging (general radiography), CT reconstructs cross-sectional anatomical images of the internal structures according to X-ray attenuation co-efficients (approximate tissue density) for almost every region in the body. This articleappraisals the essential physical principles and practical aspects of the CT scanner, including numerous notable evolutions in CT technology that resulted in the appearance of helical, multidetector, cone beam, portable, dual-energy, and phase-contrast CT, in integrated imaging modalities, such as positronemission- tomography一CT and single-photon-emission-computed-tomography-CT, and in clinical applications, including image acquisition parameters, CT angiography, image adjustment, versatile image visualizations, volumetric/surface rendering on a computer workstation, radiation treatment planning, and target localization in radiotherapy. The understanding of CT characteristics will provide more effective and accurate patient care in the fields of diagnostics and radiotherapy, and can lead to the improvement of image quality and the optimization of exposure doses.
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50

Onischenko, G. G., A. Yu Popova, I. K. Romanovich, A. V. Vodovatov, N. S. Bashketova, O. A. Istorik, L. A. Chipiga, I. G. Shatsky, L. V. Repin, and A. M. Biblin. "Modern principles of the radiation protection from sources of ionizing radiation in medicine. Part 1: Trends, structure of x-ray diagnostics and doses from medical exposure." Radiatsionnaya Gygiena = Radiation Hygiene 12, no. 1 (March 27, 2019): 6–24. http://dx.doi.org/10.21514/1998-426x-2019-12-1-6-24.

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Implementation of modern highly informative methods of X-ray diagnostics (computed tomography, interventional examinations, nuclear medicine), associated with the increase of doses to the public and patients, requires the development and improvement of the existing system of the radiation protection from medical exposure. Despite the prevalence of the traditional imaging modalities in the structure of X-ray diagnostics in the Russian Federation (radiography and fluorography compose up to 95% out of 280 mln. X-ray examinations performed in 2017), the major contribution into the collective dose from medical exposure is due to the computed tomography (50,5%). Comparison of the structure of X-ray diagnostics in the Russian Federation with European Union indicates the absence of fluorography examinations and significantly (up to a factor of 5) higher contribution of computed tomography in European countries. An average collective dose from medical exposure in European countries is composed of 80% of computed tomography and of 10% of nuclear medicine; a mean effective dose per X-ray examination are higher up to a factor of 3 compared to Russia. The analysis of the trends of the development of the X-ray diagnostic in the Russian Federation allows predicting a further increase of the number of computer tomography, interventional and nuclear medicine examinations as well as an increase of the collective dose from medical exposure up to a factor of two in the next decade. This will be associated with changes in the structure of the X-ray diagnostics and an increase of the mean effective doses from X-ray examinations.
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