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Data-driven respiratory gating was previous developed to extract respiratory information directly from PET listmode data. It was also shown that different regions may contribute differently to the accuracy of the motion signal, affecting the successful rate of this method. The goal of this study is to develop and evaluate methods that automatically determine the optimum regions to acquire respiratory...
The goal is to develop and evaluate two methods to extract interventricular sulcus (IS) from 4D cardiac gated (CG) myocardial perfusion (MP) PET images for use in quantitative cardiac motion estimation. In Method 1, the entire myocardium was first segmented from the 3D MP PET image of each CG frame by 3D region growing. The left ventricle (LV) was then extracted by 3D image erosion and dilation, and...
Patient motion can cause image blurring effects and mismatch of attenuation maps during a brain scan. To detect and correct patient head movement during a PET scan, external devices are usually used. The goal of this study is to present a method that automatically detects and corrects rigid patient motion in real time, without any additional external device using only the listmode data. Within each...
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