Motion Corrected Model-based Acceleration of Parameter Mapping (MOCO-MAP) for Improved Late Gd Enhancement Imaging in Cardiac MRI
Tobias Wech 1 , Felix Rtzel 1,2 , Johannes Tran-Gia 1 , Andreas Schindele 3 , Theresa Reiter 4 , Thorsten Klink 1 , Michael Braun 1,2 , Alfio Borzi 3 , Walter H. Kullmann 2 , Thorsten A. Bley 1 , and Herbert Kstler 1
Department of Diagnostic and Interventional
Radiology, University of Wuerzburg, Wrzburg, Germany,
of Medical Engineering, University of Applied Sciences
Wrzburg-Schweinfurt, Schweinfurt, Germany,
of Mathematics, University of Wuerzburg, Wrzburg,
of Internal Medicine I, University of Wuerzburg,
Late Gd enhancement imaging is a well-established tool
for the determination of infarcted myocardial tissue.
However, the necessity for the operator to manually
adjust the effective inversion time TI prior to a LGE
acquisition makes the acquisition susceptible to
sub-optimal contrast between vital and necrotic tissue.
The aim of this study was to incorporate a
forward-backward motion correction in the model based
acceleration of parameter mapping (MAP) technique to
reconstruct images of multiple contrasts out of a 2D
dataset acquired after a single IR preparation. The
presented method allows for retrospectively selecting
the desired image contrast and thus improves the
flexibility of diagnostic LGE imaging.
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