Rekonstruktion pathologischer Strukturveränderungen im menschlichen Gehirn mit Hilfe der Magnetischen-Induktions-Tomographie

Translated title of the contribution: Rekonstruction of pathological structural changes in the human brain with magnetic induction tomography

Robert Merwa

Research output: ThesisDoctoral Thesis

Abstract

Neurological aggraviations of patients with craniocerebral injury can trace back in most cases to a swelling of the brain. The survey of these patients is carried out with intracranial pressure sensors in combination with different imaging techniques. This method causes a big distress for the patients, thus new non-invasive methods are required. One promising possibility is magnetic induction tomography, a new non-invasive and contact-less imaging method for reconstructing the electrical tissue properties in the region of interest. The 3D inverse problem was solved with a cylinder/cylinder model and a model of the human brain. First results show the feasibility of the reconstruction of structural conductivity changes with good localization. Four different regularization methods were compared, whereby the variance uniformization approach yielded the best results. In addition a method for optimization of the measurement configuration was developed. It renders possible the determination of number and positions of those coils which maximize the sensitivity to particular regions of interest. Such an optimization was performed for a ring-shaped example system.
Translated title of the contributionRekonstruction of pathological structural changes in the human brain with magnetic induction tomography
Original languageGerman
QualificationDoctor of Technology
Awarding Institution
  • Graz University of Technology (90000)
Supervisors/Advisors
  • Scharfetter, Hermann, Supervisor
  • Tilg, Bernhard, Supervisor, External person
Publication statusPublished - 27 Feb 2004

Keywords

  • magnetic induction tomography
  • finite element method
  • sensitivity
  • inverse problem
  • regularization
  • coil optimization
  • tissue parameters
  • human brain
  • brain oedema

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