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Dynamic single photon emission computed tomography (SPECT) has demonstrated the potential to quantitatively estimate physiological parameters in the brain and the heart. The generalized linear least square (GLLS) method is a well-established method for solving linear compartment models with fast computational speed. However, the high level of noise intrinsic in the SPECT data leads to reliability...
The generalized linear least squares (GLLS) method has been shown to successfully construct unbiased parametric images from dynamic positron emission tomography (PET). However, the high level of noise intrinsic in single photon emission computed tomography (SPECT) can give rise to unsuccessful voxel-wise fitting using GLLS, resulting in physiologically meaningless estimates, such as negative kinetic...
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