Recovering elastic property of soft tissues using 2D image sequences with limited range data

Detecting abnormal material properties associated with diseased tissues from images requires accurate displacement data. We examined three affine model-based methods for measuring 3D displacements in regular image sequences. The advantage of these methods is that only one or no range image is needed for the whole sequence. We demonstrate, using images of both synthetic material and real burn patients, that the affine tracking method is suitable for many image based medical analyses.