Ultrasound (US) imaging is a widely used medical imaging technique. As US has high temporal resolution and is non-invasive, it is an appealing choice for applications which require tracking and tissue motion analysis, such as motion compensation in image-guided intervention and therapy. Specifically, we want to address the issue of respiratory motion in the liver.
While there is a large number of relevant works in motion tracking, it is difficult to compare the reported tracking strategies. Critical factors are the lack of a public dataset, the variation in tracking objective and validation strategies. The aim of the challenge is to present the current state-of-the-art in automated tracking of anatomical landmarks in the liver and compare different methods.
CLUST 2015 is still open for general submissions, which will be published on the Results page.
Valeria De Luca, ETH Zurich, Switzerland email@example.com
Emma Harris, Institute of Cancer Research, Sutton, UK firstname.lastname@example.org
Muyinatu A. Lediju Bell, Johns Hopkins University, USA email@example.com
Christine Tanner, ETH Zurich, Switzerland firstname.lastname@example.org
Lin Zhang, ETH Zurich, Switzerland email@example.com