Projects
Medical Image Registration
Image registration is one of today‘s challenging image
processing problems. The objective is to find a geometrical
transformation that aligns points in one view of an object
with corresponding points in another view of the same object
or a similar one. Particularly in medical imaging, there are
many instances that demand for registration. Typical examples
include the treatment verification of pre- and post-intervention
images, study of temporal series of images, and the monitoring
of time evolution of an agent injection subject to a patient-motion.
Another important area is the need for combining information
from multiple images acquired using different modalities,
sometimes also called fusion.
In summary, image registration is inevitable whenever images
acquired from different subjects, at different times, or from
different scanners need to be combined or compared for analysis
or visualization.
The focus of this project is the development of algorithms
which are capable of dealing with high-resolution, high dimensional,
and/or time critical applications. Examples include the registration
of histological slices of a human brain (here, each of the
6.000 slices has a resolution of about 10.000 x 20.000 pixel),
the registration of a time series of three-dimensional MRI’s,
the online correction of the so-called brain shift during
the surgery, or the registration of diffusion tensor images
(DTI‘s).
Contact
Bernd Fischer
Institute of Mathematics,
University of Lübeck
Phone: ++49-451-7030-434
E-Mail: fischer@math.uni-luebeck.de
Jan Modersitzki
Institute of Mathematics,
University of Lübeck
Phone: ++49-451-7030-434
E-Mail: modersitzki@math.uni-luebeck.de |
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