Disputation: Andrea Teatini

Doctoral candidate Andrea Teatini at the Department of informatics, Faculty of Mathematics and Natural Sciences, is defending the thesis Accurate and effective model-to-patient registration for navigation in image guided laparoscopic liver resection for the degree of Philosophiae Doctor.

Picture of the candidate

Photo: Private

The University of Oslo is closed. The PhD defence and trial lecture will therefore be fully digital and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.

Ex auditorio questions: the chair of the defence will invite the audience to ask ex auditorio questions either written or oral. This can be requested by clicking 'Participants -> Raise hand'. 

Trial lecture

Title: "Image-guided deep brain stimulation: How accurate can it be?"

Main research findings

Bildet kan inneholde: insekt, frosk, leddyr, kreativ kunst, terrestrisk dyr.For more than two decades, image guided surgery has been studied and developed for different surgical applications. From a surgical perspective, the liver is one of the most complicated organs in the human body, and could greatly benefit from both planning and navigation solutions. However, adoption of these systems for liver applications is very limited, mostly due to the inaccuracy of these solutions as well as integration difficulties in the clinical workflow. After an initial assessment of the bottlenecks of soft tissue navigation for laparoscopic liver surgery, this PhD project aimed to propose novel methods to improve these systems, especially with focus on model-to-patient registration (co-registration) techniques using intra-operative imaging techniques.

Findings of this thesis were: optical tracking currently provides the most accurate instrument tracking; sampling inaccuracy and user-dependency of registration positions greatly undermine the accuracy of model-to-patient registration and intra-operative deformations should be accounted for using intra-operative imaging data.

Based on these principles, two solutions were developed throughout this thesis: one using radiotherapy gold fiducials and another with a combination of stereo camera point-cloud reconstruction and biomechanical modelling. Both methods proved to possess the potential to be used for clinical applications, with the limitations discussed in the thesis.

Adjudication committee:

  • Associate Professor Matthew Clarkson, Department Of Medical Physics and Biomedical Engineering, University College London, UK
  • Dr. Anja Lachenmayer, Department of Viceral Surgery and Medicine, Inselspital Bern, Switzerland
  • Professor Andreas Austeng, Department of Informatics, University of Oslo, Norway


  • Associate Professor Ole Jakob Elle, Oslo University Hospital, The Intervention Centre and University of Oslo, Norway
  • Professor Bjørn Edwin, Oslo University Hospital, The Intervention Centre and HPB department; University of Oslo, Norway
  • Research director Stéphane Cotin, Inria, MIMESIS team, Nancy Grand-Est - Strasbourg, France
  • Chief Scientist Thomas Langø, SINTEF Healthcare, Trondheim, Norway

Chair of defence

  • Associate Professor Carsten Griwodz, Department of Informatics, UiO

Contact information to Department: Anniken R. Birkelund

Publisert 26. mars 2021 10:49 - Sist endret 22. nov. 2022 10:10