A filtering integration method for physiological function images

With the advent of positron emission tomography (PET), a variety of techniques have been developed to measure local cerebral blood flow (LCBF) noninvasively in humans. A filtering integration method is proposed in this paper. The comparison results demonstrate the statistical reliability and computational efficiency of this new method. Therefore, it can potentially be used in image-wide quantitation of local cerebral blood flow with PET.