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Biomedical matching GUI development

Masters Thesis, Computer Science, Boise State University, May 2012

Nazia Sarang

Abstract:

Biomedical researchers constantly search for new methods to diagnose the extent
of joint injuries in live human subjects. In order to achieve this, the researchers need
to know the accurate three dimensional kinematic data of bones and joints and to
accurately quantify how bones in a joint move relative to one another during dynamic
activities. Algorithms have been developed previously to estimate the exact spatial
position and movement of the bones. These methods involved generation of digitally
reconstructed radiographs (DRR) from a three dimensional CT scan image of human
joint with known position and orientation and comparing it with the original two
dimensional video fluoroscopy (video X-ray) image. This way, a DRR image could
be found which looks similar to the fluoroscopy frame of the knee joint and thus the
position and orientation of the bone could be discovered.

Previous research has been done for finding the dimensions and the orientation of
the bone by making use of sequential Monte Carlo method [1] and Swarm Intelligence
techniques in parallel computing environment [2]. These methods are a little hard
to understand by a person not involved in Image Processing. This project is about
developing a user friendly GUI to help people understand the scope of the problem
that researchers are working. The GUI displays the bones in both three dimensional
and two dimensional space, allowing the human user to do the search which was
previosuly done automatically by the computer using image feature information. The
user of the GUI will estimate the position of a given bone, given images of a bone in
3D and 2D space viewed at perspectives chosen by the user.

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