Deformable motion models are useful for analysis of dynamic datasets exhibi
ting non-rigid motion, as in gated cardiac PET. We employ an algorithm that
obtains a vector field to describe the relative motion of each voxel betwe
en two data sets. The estimation is based on a two-component cost function:
an image matching component, and a motion field smoothness component. An i
mportant aspect of obtaining an accurate motion field estimate is properly
balancing the weight between the two cost components. We show that by using
a material elastic model inspired by continuum mechanics, an intuitive int
erpretation of the weighting factors for the smoothness constraint may be o
btained. Further, we show that mismatches between actual material elastic p
arameters and those used by the estimation algorithm can lead to greater es
timation error. Results are validated using an ellipsoidal phantom simulati
ng compressible and incompressible deformations.