[visionlist] PhD student position available...
Kowal, Horst Jens
jens.kowal at artorg.unibe.ch
Fri Nov 13 01:34:40 PST 2009
PhD student position available...
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 common primary intraocular malignant tumor of the eye, and is a life-threatening
disease if it is left untreated.
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 modalities such as fundus photographs, ultrasound images, and computed tomography or magnetic resonance 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 sutured 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 Medical 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.
If you feel attracted by this project please submit a comprehensive application to the contact address listed below.
Prof Jens Kowal: jens.kowal at artorg.unibe.ch
University of Bern
ARTORG Center for Biomedical Engineering Research
Prof Jens Kowal, Ph.D.
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