Shahram Partovi

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BACKGROUND AND PURPOSE Commercially available software programs for the conversion of dynamic CT perfusion (CTP) source data into cerebral blood volume (CBV), cerebral blood flow (CBF), and mean transit time (MTT) maps require operators to subjectively define parameters that are used in subsequent postprocessing calculations. Our purpose was to define the(More)
Evidence based decision making in the context of chronic disease management requires long term tracking and analysis of patient data. This study demonstrates how disease data tracking can help in understanding underlying patterns in chronic disease progression. Latent Growth Modeling (LGM) is used as a tool to analyze the long term chronic data related to(More)
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