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Towards In-Vivo X-Ray Nanoscopy

Acquisition Parameters vs. Image Quality
  • Leonid MillEmail author
  • Lasse Kling
  • Anika Grüneboom
  • Georg Schett
  • Silke Christiansen
  • Andreas Maier
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

X-ray microscopy is a powerful imaging technique that permits the investigation of specimen on nanoscale with resolution of up to 700 nm in 3-D. In the context of bio-medical research this is a promising technology that allows to study the microstructure of biological tissues. However, X-ray microscopy (XRM) systems are not designed for in-vivo applications and are mainly used in the field of material sciences in which dose is irrelevant. High resolution scans may take up to 10 hours. Our long-term goal is to utilize this modality to study the effects of disease dynamics and treatment in-vivo on mice bones. Therefore, a first step towards this ambitious goal is to evaluate the current state-of-the-art to determine the required system parameters. In this work, we investigate the impact of different XRM settings on the image quality. By changing various acquisition parameters such as exposure time, voltage, current and number of projections, we simulate the outcome of XRM scans, while reducing the X-ray energy. We base our simulations on a high resolution ex-vivo scan of a mouse tibia. The resulting reconstructions are evaluated qualitatively as well as quantitatively by calculating the contrast-to-noise ratio (CNR). We demonstrate that we can reach comparable image quality while reducing the total X-ray energy which forms a foundation towards the upcoming experiments.

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Literatur

  1. 1.
    Englisch S, Wirth J, Schrenker N, et al. Mechanical failure of transparent exible silver nanowire networks for solar cells using 3D X-ray nano tomography and electron microscopy. Microsc Microanal. 2018;24(S2):558–559.CrossRefGoogle Scholar
  2. 2.
    Broerse JJ. Dose-mortality studies for mice irradiated with X-rays, gammarays and 15 MeV neutrons. Int J Radiat Biol Relat Stud Phys, Chem Med. 1969;15(2):115{124. Available from:  https://doi.org/10.1080/09553006914550201.CrossRefGoogle Scholar
  3. 3.
    Baker JE, Fish BL, Su J, et al. 10 Gy total body irradiation increases risk of coronary sclerosis, degeneration of heart structure and function in a rat model. Int J Radiat Biol. 2009;85(12):1089–1100.CrossRefGoogle Scholar
  4. 4.
    Mill L, Bier B, Syben C, et al. Towards in-vivo X-ray nanoscopy. Proc BVM. 2018; p. 115–120.Google Scholar
  5. 5.
    Maier A, Steidl S, Christlein V, et al. Medical Imaging Systems: An Introductory Guide. Heidelberg, Berlin: Springer; 2018.Google Scholar
  6. 6.
    Dössel O. Bildgebende Verfahren in der Medizin. Heidelberg, Berlin: Springer; 2016.Google Scholar
  7. 7.
    Hubbell JH, Seltzer SM. Tables of X-ray mass attenuation coefficients and mass energy-absorption coefficients 1 keV to 20 MeV for elements Z= 1 to 92 and 48 additional substances of dosimetric interest. National Inst. of Standards and Technology-PL, Gaithersburg, MD (United States). Ionizing Radiation Div.; 1995.Google Scholar
  8. 8.
    Manhart M, Aichert A, Struffert T, et al. Denoising and artefact reduction in dynamic flat detector CT perfusion imaging using high speed acquisition: first experimental and clinical results. Phys Med Biol. 2014;59(16):4505–4524.CrossRefGoogle Scholar
  9. 9.
    Maier A, Hofmann HG, Berger M, et al. CONRAD: a software framework for cone-beam imaging in radiology. Med Phys. 2013;40(11):111914–1–8.CrossRefGoogle Scholar
  10. 10.
    Maier A, Fahrig R. GPU denoising for computed tomography. Graph Process Unit-Based High Perf Comput Radiat Ther. 2015;113.Google Scholar

Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

Authors and Affiliations

  • Leonid Mill
    • 1
    • 6
    Email author
  • Lasse Kling
    • 2
    • 5
  • Anika Grüneboom
    • 3
  • Georg Schett
    • 3
  • Silke Christiansen
    • 4
    • 5
  • Andreas Maier
    • 1
  1. 1.Pattern Recognition LabFriedrich-Alexander-University Erlangen-NurembergErlangenDeutschland
  2. 2.Max Planck Institute for the Science of LightErlangenDeutschland
  3. 3.Department of Internal Medicine 3 and Institute for Clinical ImmunologyFriedrich-Alexander-University Erlangen-Nuremberg and University Hospital ErlangenErlangenDeutschland
  4. 4.Freie Universität BerlinBerlinDeutschland
  5. 5.Helmholtz Zentrum Berlin für Materialien und EnergieBerlinDeutschland
  6. 6.Institute of Optics, Information and PhotonicsFriedrich-Alexander-University Erlangen-NurembergErlangenDeutschland

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