Abstract #1573
Discontinuity Preserving Convex Image Registration Model for MRI of the Lung
Ketut Fundana 1 , Oliver Bieri 2 , and Philippe C. Cattin 1
1
Medical Image Analysis Center, University of
Basel, Basel, Switzerland,
2
Radiological
Physics, University Hospital of Basel, Basel,
Switzerland
Imaging the structure and function of the human lungs is
of importance for early detection of lung diseases. With
the new development of steady state free precession (SSFP)
imaging concepts in combination with dedicated image
registration methods for fast functional and
morphological MRI, it is expected that we are able to
study the lung functions. We propose a novel method for
image registration of the lung MRI sequences by using a
convex optical flow model. The model is based on
combined local and global optical flow method and
regularized by an anisotropic total variation (TV) norm.
The anisotropy derived from the structure tensor in
order to take into account local variations at each
point and to preserve the discontinuities of the motion
fields. Qualitative and quantitative evaluations are
done to show the robustness of the method.
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