Abstract:As for contrast-enhanced ultrasound video cases involving cervical lymph nodes, perfusion features can be extracted from the time-intensity curve (TIC) to make a diagnosis. The existing research methods that analyze a region of interest at the pixel level are able to describe perfusion features accurately. However, in-depth research on methods of visualizing the perfusion flow direction is limited in number. In this study, pixel-based TIC analysis is performed, and the TIC is screened by double screening. Then, two-dimensional perfusion parameters are extracted from the TIC to visualize the perfusion flow direction. The streamline image generated after feature extraction can reflect the distribution of blood vessels to a certain extent, thereby helping doctors with their diagnoses and providing implications to microvascular reconstruction.