Deadline: 10-08-2012
Nationality: Any
Radboud university
Nationality: Any
Radboud university
Job description
Chest CT is the best
way to image the lungs in vivo. This project focuses on vascular
analysis in the lungs, mainly the separation of arteries and veins.
Several methods for pulmonary vessel segmentation are available (as illustrated here)
but the separation into arteries and veins remains challenging due to
numerous touchings and crossings of the trees that have similar
appearance as bifurcations or trifurcations of the same tree.
Artery-vein separation in CT scans of the lungs is important for
computer-aided diagnosis and treatment planning and increases
understanding of the vascular function and structure. In this project
the main focus for application will be on pulmonary emboli (PE). A PE is
a sudden blockage in a pulmonary artery, it is a prevalent condition
(in the United States at least 650,000 cases of PE occur annually) and
is a common cause of death in all age groups. In our hospital, 50 CT
scans a month are taken for suspected PE. Detecting small PE is a
difficult task for radiologists, therefore computer-aided detection of
PE is being developed, for which a prerequisite is the separation of
arteries and veins.
The main focus of the project will be:
The main focus of the project will be:
- Development of artery-vein separation in chest CT scans
- Evaluation of the developed methodology
- Embedding in computer aided detection of PE
- Evaluation of performance of PE detection before and after artery-vein separation
Requirements
You
are a creative and enthusiastic researcher with an MSc degree in
Computer Science, Physics, Engineering or Biomedical Sciences or
similar, with a clear interest to develop image analysis algorithms and
an affinity with medical topics. Good communication skills and expertise
in software development, preferably in C++, are essential.
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