On interest point detection under a landmark-based medical image registration context

Abstract

A comparison and a performance evaluation of 3D interest point detectors based on the structure tensor matrix under a medical image registration context is presented. The study regards the distinctiveness and the repeatability rate exhibited by the detectors on medical images as the fundamental criteria for selecting a detector to be the support of a registration task. We empirically assess those requirements under the specificities of medical image analysis and registration.