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  • This article discusses two-dimensional reconstruction of the internal conductivity distribution for a human head tissues imaging and for the determination of corresponding brain tissue changes with the help of the Magnetic Resonance Electrical Impedance Tomography (MREIT) method. MREIT is a bio-imaging modality providing cross-sectional conductivity images with a high spatial resolution from measurements of internal magnetic flux density produced by externally injected currents. The new algorithm for the image conductivity reconstruction, which uses the internal current vector information with respect to corresponding boundary conditions, was developed. This algorithm was applied to the several computer simulations to demonstrate the feasibility. Obtained conductivity reconstruction results are presented and the reached experience is discussed. The future research direction is also proposed.
  • This article discusses two-dimensional reconstruction of the internal conductivity distribution for a human head tissues imaging and for the determination of corresponding brain tissue changes with the help of the Magnetic Resonance Electrical Impedance Tomography (MREIT) method. MREIT is a bio-imaging modality providing cross-sectional conductivity images with a high spatial resolution from measurements of internal magnetic flux density produced by externally injected currents. The new algorithm for the image conductivity reconstruction, which uses the internal current vector information with respect to corresponding boundary conditions, was developed. This algorithm was applied to the several computer simulations to demonstrate the feasibility. Obtained conductivity reconstruction results are presented and the reached experience is discussed. The future research direction is also proposed. (en)
Title
  • Utilization of Boundary Conditions in MR Image Reconstruction
  • Utilization of Boundary Conditions in MR Image Reconstruction (en)
skos:prefLabel
  • Utilization of Boundary Conditions in MR Image Reconstruction
  • Utilization of Boundary Conditions in MR Image Reconstruction (en)
skos:notation
  • RIV/00216305:26220/11:PU91829!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 237541
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU91829
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • EIT, MREIT (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [2C0F8CE84E75]
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  • Marocco
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  • Marrakesh
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  • PIERS 2011 Marrakesh
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kříž, Tomáš
  • Ostanina, Ksenia
  • Dědková, Jarmila
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • The Electromagnetics Academy
https://schema.org/isbn
  • 978-1-934142-16-5
http://localhost/t...ganizacniJednotka
  • 26220
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