PIPsUS: Self-Supervised Dense Point Tracking in Ultrasound

arXiv:2403.04969v1 Announce Type: new
Abstract: Finding point-level correspondences is a fundamental problem in ultrasound (US), since it can enable US landmark tracking for intraoperative image guidance in different surgeries, including head and neck. Most existing US tracking methods, e.g., those based on optical flow or feature matching, were initially designed for RGB images before being applied to US. Therefore domain shift can impact their performance. Training could be supervised by ground-truth correspondences, but these are expensive to acquire in US. …

abstract arxiv cs.cv feature flow guidance head image images landmark optical optical flow tracking type