Motion correction of myocardial perfusion spect employing image enhanced diverging square algorithm

摘要

Motion artifacts often occur during cardiac SPECT acquisition that can diminish specificity of this important diagnostic technique. We use an image enhanced diverging square algorithm to correct for the average shift in heart position occurring between projection images by realigning the center of each of the images contained in the acquisitions. The diverging square algorithm, which is a modification of the common converging square algorithm, is an automated method used to track the center of the heart from frame to frame to correct the average shift in heart position occurring between projection SPECT images. This paper shows how the tracking capabilities of the algorithms can be improved by image enhancement and segmentation of the hearts' images.