Automated Tracking of Tagged Magnetic Resonance Image for Assessment of Regional Cardiac Wall Function
Tagged magnetic resonance imaging is a new non-invasive technique to measure regional cardiac wall motion and deformation. This technique enables us to study the physiologic mechanism of the heart and to clinically assess diseased myocardial function. However, it requires tracking multiple corresponding tagged grid intersections in consecutive frames. The manual tracking is tedious and tends to have some bias. Some semi-automatic methods have been reported. We developed a fully automated method for the tracking of tagged magnetic resonance images and for the assessment of regional wall motion and myocardial strain. Two-dimensional Fourier transform was used to estimate tagged grid orientation and grid spacing. Cardiac wall area to be studied was extracted from the original magnetic resonance image using frame subtraction and spatial filters. Orthogonal grid intersections were detected with template matching. The appropriate size of template and spatial filter were automatically determined using two-dimensional Fourier spectrum of the original image.
KeywordsRegional Wall Motion Spatial Filter Grid Line Active Contour Model Short Axis Slice
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