[visionlist] PhD-Position Available...

Kowal, Horst Jens jens.kowal at artorg.unibe.ch
Mon Mar 1 10:24:35 GMT 2010


A very challenging topic in ophthalmology is the treatment of intraocular tumors by irradiation. Melanoma of the choroid and the ciliary body, i.e., posterior uveal melanoma, are the most com-mon primary intraocular malignant tumor of the eye, and is a life-threatening disease if it is left un-treated. Proton beam irradiation is an established treatment modality for intraocular tumors. To deliver the necessary radiation dose to the tumor tissue but sparing the surrounding tissue, precise planning and delivery of the charged particle beam are mandatory. 
Usually, different image modali-ties such as fundus photographs, ultrasound images, and computed tomography or magnetic reso-nance image data are combined to develop the treatment plan. To co-register the different image modalities and to position the patient eye for irradiation, often tantalum marker elements are su-tured to the globe in a preceding surgery. The relative position of the tantalum markers and their distance to the limbus and to the tumor border are important parameters for the planning. They are manually assessed during the surgery.

The objective of this thesis is twofold first the development of a registration and navigation system to co-register reliably and precisely the different modalities involved into the treatment plan and subsequently to investigate the possibility of a proton beam treatment without the need of sutured reference tantalum marker and the additional surgery to attach the marker.

For this project we are seeking for a highly motivated candidate willing to work in a multidisciplinary environment together with clinicians and scientists. The project will be conducted in collaboration with the Paul Scherrer Institute (PSI, Villigen, Switzerland). This project will be supported by the Swiss National Science Foundation through the project “Computer Aided and Image Guided Medi-cal Interventions (CO- ME)” as part of the National Center of Competence in Research.

The nature of the project demands computer vision background as well as strong programming skills in C++ and preferably in OpenGL / OpenInventor graphics. Additionally, background in Electronics would be an advantage. Applicants need to be qualified to join the Graduate Program of the Medical Faculty of the University of Bern ( http://www.gcb.unibe.ch/content/index_eng.html). If you feel attracted by this project please submit a comprehensive application to the contact address listed below.

University of Bern
ARTORG Center for Biomedical Engineering Research

Prof Jens Kowal, Ph.D.
Ophthalmic Technologies
Inselspital Bern
Ophthalmology Department  

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