Motion perception in medical imaging
Francesc Massanés, Jovan G. Brankov · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
A potential drawback of image noise suppression in medical image sequence processing is a possible loss of the apparent motion: making objects appears to move slower or less then they move in reality. For medical imaging application this can be of critical importance, for example myocardium motion in cardiac gated single photon emission computed tomography (SPECT) imaging can differentiate viable muscle from scar tissue. Therefore, in this work we design a set of experiments to measure how human observers perceive apparent motion in the presence of image degradations like noise and blur. In addition we will try to identify relevant image features, based on a visual attention model and a block matching motion estimation method that would allow development of an accurate numerical observer capable of predicting human observer motion perception.