PET motion correction using PRESTO with ITK motion estimation
نویسندگان
چکیده
Institute of Biophysics and Biomedical Engineering, Science Faculty of University of Lisbon, Portugal The Siemens BrainPET scanner is a hybrid MRI/PET system. PET images are prone to motion artefacts which degrade the image quality. Therefore, motion correction is essential. The library PRESTO converts motion-corrected LORs into highly accurate generic projection data [1], providing high-resolution PET images. ITK is an opensource software used for registering multidimensional data [2]. ITK provides motion estimation necessary to PRESTO. For this study the Utah phantom, a brain phantom and clinical images were used. The data was simulated with different statistics and included scatter and random events. The data was reconstructed using OP-OSEM [3] with 41 iterations. The patient was
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عنوان ژورنال:
دوره 1 شماره
صفحات -
تاریخ انتشار 2014