Motion-based temporal interpolations of power Doppler ultrasound

Power Doppler ultrasound is used for visualizing and diagnosing blood circulation, yet its insufficient frame rate presents a significant challenge for practitioners. To increase the frame rate, we investigate three existing motion-based interpolation methods and find they perform better than linear interpolation but can not provide medically consistent temporal interpolations for power Doppler ultrasound. We address these limitations by proposing a method to detect and correct interpolation error-affected regions in temporal interpolations through differences in extrapolation matchings, motion smoothness and motion variance. We validate our approach using clinical obstetric data.