Detection of high malign areas in- and outside of gliomas with diffusion tensor imaging (DTI)

Information

• Visibility: hidden
• Publication Type: Ongoing Master Thesis
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: ongoing
• Date (Start): 24. March 2017
• Matrikelnummer: 9900294
• First Supervisor:
  • Eduard Gröller
  • Renata Raidou

Abstract

The aim of this thesis is to identify the hot spots described above within and (if present) outside the glioma and visualize them automatically in the image data. The neurosurgeon is thus to be given the possibility to resect potential highly malignant areas, from which recurrences could proceed, taking into account a safety distance. Diffusion-weighted imaging (DWI) is used to accomplish this. The diffusion coefficient (ADC) is calculated on the one hand from the diffusion, on the other hand the three-dimensional diffusion behavior can be described by the directional dependence of the diffusion tensor (DTI). In combination with the contrast-intensified sequences, which are used to estimate the spatial limitation of the space requirement, the possibility of tissue typing is obtained by means of the image data. For this purpose, the determination of cut-off values for low and high-grade gliomas is necessary. The fractional anisotropy (FA) and the ADC can thus be used as tissue markers for degenerate brain parenchyma and allow an assessment of dignity of the neoplastic change. In a further step, the image data are visualized as described below.

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BibTeX

@runmasterthesis{Machegger2018DTI,
  title =      "Detection of high malign areas in- and outside of gliomas
               with diffusion tensor imaging (DTI)",
  author =     "Lukas Machegger",
  year =       "2018",
  abstract =   "The aim of this thesis is to identify the hot spots
               described above within and (if present) outside the glioma
               and visualize them automatically in the image data. The
               neurosurgeon is thus to be given the possibility to resect
               potential highly malignant areas, from which recurrences
               could proceed, taking into account a safety distance.
               Diffusion-weighted imaging (DWI) is used to accomplish this.
               The diffusion coefficient (ADC) is calculated on the one
               hand from the diffusion, on the other hand the
               three-dimensional diffusion behavior can be described by the
               directional dependence of the diffusion tensor (DTI). In
               combination with the contrast-intensified sequences, which
               are used to estimate the spatial limitation of the space
               requirement, the possibility of tissue typing is obtained by
               means of the image data. For this purpose, the determination
               of cut-off values for low and high-grade gliomas is
               necessary. The fractional anisotropy (FA) and the ADC can
               thus be used as tissue markers for degenerate brain
               parenchyma and allow an assessment of dignity of the
               neoplastic change. In a further step, the image data are
               visualized as described below.   ",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2018/Machegger2018DTI/",
}