A recursive algorithm for quantification of brain perfusion SPECT images

摘要: The accurate quantification of emission computed tomography data (PET-SPECT) is limited by partial volume effects (PVE). influence these on depends the size structure in relation to spatial resolution and may lead an over- and/or underestimation true tracer concentration. This particularly holds for brain perfusion SPECT imaging, where white matter grey are two entangled tissue structures with different uptake. study proposes a recursive algorithm, which uses anatomical side information, estimate activity within compartment needed correct effects. algorithm first estimates globally, taking into account whole SPECT-image. fitted values then compared reconstructed SPELT values. For underestimated regions, activities compartments estimated again locally, only regions considered. Next, If necessary divided region, estimation redone so on. Simulation studies show that this capable addressing non-homogenous distribution SPECT-images.