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29 March 2007Novel methods for parameter-based analysis of myocardial tissue in MR images
The analysis of myocardial tissue with contrast-enhanced MR yields multiple parameters, which can be used to classify
the examined tissue. Perfusion images are often distorted by motion, while late enhancement images are acquired with a
different size and resolution. Therefore, it is common to reduce the analysis to a visual inspection, or to the examination
of parameters related to the 17-segment-model proposed by the American Heart Association (AHA). As this
simplification comes along with a considerable loss of information, our purpose is to provide methods for a more
accurate analysis regarding topological and functional tissue features. In order to achieve this, we implemented
registration methods for the motion correction of the perfusion sequence and the matching of the late enhancement
information onto the perfusion image and vice versa. For the motion corrected perfusion sequence, vector images
containing the voxel enhancement curves' semi-quantitative parameters are derived. The resulting vector images are
combined with the late enhancement information and form the basis for the tissue examination. For the exploration of
data we propose different modes: the inspection of the enhancement curves and parameter distribution in areas
automatically segmented using the late enhancement information, the inspection of regions segmented in parameter
space by user defined threshold intervals and the topological comparison of regions segmented with different settings.
Results showed a more accurate detection of distorted regions in comparison to the AHA-model-based evaluation.
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A. Hennemuth, S. Behrens, C. Kuehnel, S. Oeltze, O. Konrad, H.-O. Peitgen, "Novel methods for parameter-based analysis of myocardial tissue in MR images," Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65111N (29 March 2007);