Estimation of response functions is an important task in dynamic medical imaging. This task
arises for example in dynamic renal scintigraphy, where impulse response or retention
functions are estimated, or in functional magnetic resonance imaging where hemodynamic
response functions are required. These functions can not be observed directly and their
estimation is complicated because the recorded images are subject to superposition of
underlying signals. Therefore, the response functions are estimated via blind source …