Digital Public Defence: Magne Mørk Kleppestø

MSc Magne Mørk Kleppestø at Institute of Clinical Medicine will be defending the thesis “Dynamic contrast-enhanced magnetic resonance imaging of high-grade gliomas - methodological aspects and error estimations” for the degree of PhD (Philosophiae Doctor).

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Photo: Ine Eriksen, UiO

The public defence will be held as a video conference over Zoom.

The defence will follow regular procedure as far as possible, hence it will be open to the public and the audience can ask ex auditorio questions when invited to do so.

Click here to participate in the public defence

Download Zoom here

Due to copyright reasons, an electronic copy of the thesis must be ordered from the faculty. In order for the faculty to have time to process the order, it must be received by the faculty no later than 2 days prior to the public defence. Orders received later than 2 days before the defence will not be processed. Inquiries regarding the thesis after the public defence must be addressed to the candidate.

Digital Trial Lecture – time and place

See Digital Trial Lecture.

Adjudication committee

  • First opponent: Professor Linda Knutsson, Lund University, Sweden
  • Second opponent: Associate Professor Erik Magnus Berntsen, Norwegian University of Science and Technology
  • Third member and chair of the evaluation committee: Professor Heidi Beate Eggesbø, University of Oslo

Chair of the Defence

Professor Petter Gjersvik, University of Oslo

Principal Supervisor

 Professor II Atle Bjørnerud, University of Oslo


This work investigates several underlying assumptions that are made in the acquisition and analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images applied to monitoring of high-grade glioma patients, and how these affect the derived kinetic parameters. The effects of the arterial input function, temporal sampling interval, acquisition duration and pre-contrast T1 measurement were assessed using clinical data and simulations.

The results show that the reproducibility of the method can be improved by using a semi-quantitative rather than fully quantitative approach, while still maintaining its usefulness in disease monitoring. It was found that the sampling interval may be longer than what is commonly used, and that a constant pre-contrast T1 value can be used in place of measured values. Lastly, strategies to minimize the operator dependence of arterial input function selection and measurement were explored.

These findings show how DCE-MRI can be performed in a more streamlined manner to monitor treatment effects in high-grade glioma patients, thus making the method more accessible and less prone to error.

Additional information

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Published Dec. 3, 2021 2:01 PM - Last modified Dec. 21, 2021 1:25 PM