MATLAB PROJECT
Correlation-Weighted
Sparse Representation for Robust Liver DCE-MRI Decomposition Registration
Abstract:
Conducting an accurate motion correction of liver dynamic
contrast-enhanced magnetic resonance (DCE-MR) imaging remains challenging
because of intensity variations caused by contrast agents. Such variations lead
to the failure of the traditional intensity-based registration method. To
address this problem, we propose a correlation-weighted sparse representation
framework to separate the contrast agent from original liver DCE-MR images.
This framework allows the robust registration of motion components over time
without intensity variances. Existing sparse coding techniques recover a 3D
image containing only contrast agents (named contrast enhancement component)
from a manually labeled dictionary, whose column has the same size with the
original 3D volume (3D-t mode). The high dimension of the recovery target (3D
volume) and the indistinguishability between the unenhanced and enhanced images
make accurate coding difficult. In this paper, we predefine an ideal
time-intensity curve containing only contrast agents (named contrast agent
curve) and recover it from the transpose dictionary (t-3D mode), whose column
has been updated into the original time-intensity curves. The low dimension of
the target (1D curve) and the significant intergroup difference between
contrast agent curves and non-contrast agent curves can estimate a series of
pure contrast agent curves. A “correlation-weighted” constraint is introduced
for the selection of a coding subset with more contrast agent curves, leading
to an efficient and accurate sparse recovery process. Then, the contrast
enhancement component can be estimated by the solved sparse coefficients’ map
and the ideal curve and subtracted from the original DCE-MRI. Finally, we
register the de-enhanced images and apply the obtained deformation fields for
the original DCE-MRI to achieve the goal of motion correction. We conduct the
experiments on both simulated and real liver DCE-MRI data. Compared with other
state-of-the-art DCE-MRI regis...
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