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              <p>Targeted radionuclide therapy has gained an increasingly important role in cancer treatment in recent years, in which molecular imaging techniques such as SPECT can be employed to plan and monitor the treatment. However, rigid patient motion is degrading the quality of SPECT images and may impact the treatment planning. It has been recently proposed to use exponential data consistency conditions -equations describing the redundancy of exponential SPECT measurements -to detect and correct for patient motion. This study aimed at developing a data consistency-based method to estimate and correct for rigid patient motion during SPECT acquisitions. The proposed method was evaluated on Monte Carlo simulated data of a liver patient. The method led to a significant improvement in the image quality. An activity recovery coefficient above 95% with respect to the reconstructed images from motion-free projections was obtained across all tested cases. In particular, for a motion in the middle of the acquisition, the activity recovery coefficient was improved from 66 % (non-corrected projections) to 99% (motion-corrected projections).</p>
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