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Motion Tracking in 2D Ultrasound Using Vessel Models and Robust Optic-Flow

Maxim Makhinya and Orcun Goksel
MICCAI 2015 Challenge on Liver Ultrasound Tracking
Munich, Germany, October 2015

Abstract

Planned delivery of focused therapy is adversely affected by internal body motion, such as from breathing, which could be mitigated, if tracked accurately in real-time. By extending an algorithm for superficial vein tracking, we hereby present a robust real-time motion tracking method for 2D ultrasound image sequences of the liver. The method leverages elliptic and template-based models of vessels in the liver, coupled with a robust optic-flow framework. At each incoming frame, drifts in iterative tracking are detected and corrected by comparison to the initial reference frame with given points to be tracked. Results are evaluated on the MICCAI 2015 CLUST dataset, with 1.09mm mean and 2.42mm 95%ile errors in 24 testing 2D sequences from four clinical centers.


Link to publisher's page
@InProceedings{eth_biwi_01238,
  author = {Maxim Makhinya and Orcun Goksel},
  title = {Motion Tracking in 2D Ultrasound Using Vessel Models and Robust Optic-Flow},
  booktitle = {MICCAI 2015 Challenge on Liver Ultrasound Tracking },
  year = {2015},
  month = {October},
  keywords = {}
}