We present a new paradigm which incorporates multiple sets of tagged MRI da
ta (MRI-SPAMM) acquired in a cascaded fashion in order to estimate the full
3-D motion of the left ventricle (LV) during its entire cardiac cycle. Our
technique is based on an extension of our volumetric physics-based deforma
ble models, whose parameters are functions. Using these parameters, we can
characterize the local shape variation of an object with a small number of
intuitive parameters. By integrating a cascaded sequence of SPAMM data sets
into our modeling technique, we have extended the capability of the MRI-SP
AMM technique and have provided an accurate representation of the LV motion
during the full cardiac cycle (from end-diastole to end-diastole) to bette
r understand cardiac mechanics. (C) 1999 Elsevier Science Ireland Ltd. All
rights reserved.