[Imageworld] PhD position in Image Processing at the Centre for Image Analysis, Uppsala University, Sweden.

[Robin Strand]

Analysis and processing of three-dimensional medical images on optimal 
lattices

http://www.personalavd.uu.se/ledigaplatser/203dorand_eng.html

The Centre for Image Analysis (CBA) is a joint research entity between 
Uppsala University and the Swedish University of Agricultural Sciences. 
CBA was established to through research and development reinforce the 
knowledge needed for an operative and sensible use of digital image 
analysis in society. More information can be found at http://www.cb.uu.se.

Three-dimensional volume images are used frequently in medical 
applications today. With higher precision in the image acquisition 
equipment, storing and processing these images require an increasing 
amount of data processing capacity. Traditionally, three-dimensional 
images are represented by cubic (or cuboid) picture elements on a cubic 
lattice.

The two-dimensional hexagonal lattice has some advantages over the 
traditionally used square lattice. For example, fewer samples are needed 
to get the same reconstruction quality and it is less rotational 
dependent. A corresponding three-dimensional lattice is the 
body-centered cubic (bcc) lattice. In theory, almost 30% fewer samples 
can be used to get the same reconstruction quality when the bcc lattice 
is used compared to the cubic lattice.

Most three-dimensional image acquisition methods are based on 
tomography, i.e., the three-dimensional image is constructed by a stack 
of two-dimensional images, each acquired separately. To take full 
advantage of the high sampling efficiency of the bcc lattice, the image 
should be acquired as a full three-dimensional image. In this project, 
methods for image acquisition, analysis, and visualization will be 
developed for three dimensional medical images represented on the bcc 
lattice.

With the methods developed in this project, it will be possible to 
process three-dimensional images with 30% less data without affecting 
the image quality. Our intention is that this project will lead to 
faster processing of images with less demands on the data storage capacity.

Cooperation partner in this project is the Division of Radiology, 
Department of Oncology, Radiology and Clinical Immunology, Uppsala 
University.

A MSc or MEng or similar degree in science/technology with a focus on 
computer science and mathematics is a suitable background. Experiences 
from digital image processing is highly valued.

Uppsala University is striving to achieve a more even gender balance and 
women are especially encouraged to apply.

PhD positions are primarily intended for the students’ own graduate 
education. In addition to research education, teaching or other duties 
at CBA to an extent of about 20% of full time is included in the 
position. Formal acceptance as a PhD student is a prerequisite for the 
position.

The application should contain a CV, high school and college 
transcripts, letters of recommendations, and a letter describing why you 
want to become a doctoral candidate and why this line of research 
appeals to you.

You are welcome to submit your application no later than 19 February, 
2010. Use the link below to access the application form. For further 
information, please contact Dr. Robin Strand, robin at cb.uu.se .

http://www.personalavd.uu.se/jobb/appform.php?lang=en&case=UFV-PA%202010/203