Data driven motion correction of spect using developed algorithm with partial reconstruction

In a Single Photon Emission Computed Tomography (SPECT) study, the data acquisition is performed over a relatively long time, typically in the range of 5-30 minutes. Patient movement frequently occurs for longer time of data acquisition in clinical procedure. This movement causes misalignment of the projection frames, which degrades the image quality. These motion artifacts may significantly affect the diagnostic accuracy. When motion occurs between discrete acquired projections, consistency is lost and errors are generated in the reconstructed estimate. Motion correction is the task of obtaining consistent projection data from the acquisition. Therefore, the motion correction of patients in tomography images is very much essential for accurate diagnosis and hence achieves the quality of the images