PublicationDetail

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

T. Benz, M. Kowarschik, N. Navab
Kernel-based Tracking in Ultrasound Sequences of Liver
MICCAI Challenge on Liver Ultrasound Tracking (CLUST), Boston, MA, September 2014 (bib)

Objective - Object tracking in 2D ultrasound sequences of liver to infer real-time respiratory organ movement and offer motion compensation in image-guided abdominal interventions. Methods - A kernel-based tracking algorithm that is adaptive to scale and orientation changes of the tracking target is applied to 54 vessel targets in 21 ultrasound sequences acquired from volunteers under free breathing. Tracking performance is evaluated based on manually annotated ground truth information. Results - Tracking results show that the algorithm is able to track the assessed targets in a precise and robust manner in real-time performance. The overall mean tracking error is 1.43 (STD 1.22 mm).
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.



Edit | Attach | Refresh | Diffs | More | Revision r1.11 - 19 Jul 2016 - 16:26 - NassirNavab

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif