| Summary: | Cardiac arrhythmias are among the most common heart diseases affecting every year a large
percentage of the population. 4D ultrasound imaging has become a popular technique both
for the study of cardiac wall motion and in understanding deeply the mechanisms involved in
cardiac arrhythmias. In this study, experimental data was obtained from a Langendorff-perfused
pig heart and was subjected to preprocessing, segmentation and registration techniques. As a
preprocessing step, filtering using curvature anisotropic diffusion was applied to decrease the
speckle noise while enhancing the boundaries of the heart and preserving the edges of the 3D
image. Subsequently, image segmentation using the Snakes algorithm along the different slices
was performed for the reconstruction of the three dimensional model. To measure the local
deformations on the cardiac wall image registration was applied. B-spline registration and
Demons registration were examined both on the unprocessed data and on the preprocessed
segmented models
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