TY - JOUR T1 - Evaluation of microPET Simulator with Motion Correction JF - Journal of Nuclear Medicine JO - J Nucl Med SP - 1901 LP - 1901 VL - 57 IS - supplement 2 AU - Redha-alla Abdo Y1 - 2016/05/01 UR - http://jnm.snmjournals.org/content/57/supplement_2/1901.abstract N2 - 1901Objectives Positron emission tomography (PET) is a medical imaging technique that provides images of the functional process inside the body. An important research application is to image the brain of rats. In order to image the brain clearly, it is essential for the head to be held very still while lying in the scanner and therefore the animal is always anaesthetised. An alternative is to use motion correction techniques for the corrupted images. The motion detection method used in this paper is an external motion tracking system that used a stereooptical camera. We use a simulator to investigate various scenarios such as the effect of sampling ratio (the number of the measured poses that were sampled over the applied poses) on the reconstructed image quality for 2D and 3D phantoms and the effect of adding a stationary body behind and beside the phantom on the motion correction reconstructions.Methods Simulation of 2D and 3D list mode PET was performed. PET specifications were taken from microPET Focus220 (Siemens Healthcare Molecular Imaging, Knoxville,TN, USA) small animal PET scanner. A Jaszczak phantom was simulated to investigate the motion correction.Results The results of 2D sampling ratio show good agreements between the motion free, well-sampled and poorly sampled profiles, however the well sampled profile show better contrast and resolution compared to the poorly-sampled data. Based on the results of the simulations, image quality can be affected based on the degree of motion and noise added to the measured poses. Also, the mean square error (MSE) results show an almost inverse linear relationship between the MSE and the number of measured poses that were sampled over the applied poses. However, the visual image quality does not improve significantly after a certain value of the sampling ratio. Almost all rod diameters were resolved after a sampling ratio of 0.5 between the measured and the applied poses. In addition, we found that adding the stationary body behind or beside the phantom with motion correction algorithms would have some effects on image quality such as loss of resolution and artifacts. The loss in image quality increases in the case of adding noise to the measured poses or using a lower sampling ratio. Planes that are far away from the body will be visualized more clearly than those that are closer to the body.Conclusions Fast, or poorly sampled, motion introduces artifacts into the motion-corrected reconstruction and a loss of resolution. This effect depends on the sampling ratio in the simulator.We found that adding a stationary body behind or beside the phantom with motion correction algorithms would affect the image quality. The image will be degraded and in some cases can show artifacts. The loss in image quality increases in the case of adding noise to the measured poses or using a lower sampling ratio. ER -