An image reconstruction method for dynamic PET

In PET, SPECT, and other tomographic imaging modalities, dynamic image sequences are typically obtained by reconstructing the individual time frames independently. This frame-by-frame reconstruction approach can be highly suboptimal because it fails to take into account the temporal correlations in the signal. The authors propose an alternative approach, based on a Karhunen-Loeve transformation of the dynamic-image reconstruction problem, that can offer both significant improvement of the reconstructed images and a substantial reduction in the computation required to reconstruct an image sequence.