Portable ultrasound is commonly used to image blood vessels such as the Inferior Vena Cava or Internal Jugular Vein (IJV) in the attempt to estimate patient intravascular volume status. A large number of features can be extracted from a vessel's cross section. This paper examines the role of shape factors and statistical moment descriptors to classify healthy subjects enrolled in a simulation modeling relative changes in volume status. Features were evaluated using a range of selection methods and tested with a variety of classifiers. It was determined that a subset of features derived from moments are the most appropriate for this task.
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