Cornel Zachiu1, Nicolas Papadakis2, Mario Ries1, Chrit Moonen1, and Baudouin Denis de Senneville1,2
Current methods for real-time MR-guided HIFU and EBRT interventions in
moving organs rely on an algorithm that is sensitive to gray-level intensity
variations from other sources than motion. In this work, an improved real-time
tracking algorithm with increased robustness to such effects is proposed and experimentally
compared to the existing methods. Results have shown a notable improvement in
the quality of the motion estimates when the proposed method was used, while
maintaining real-time capabilities. Our method was shown to be potentially
beneficial for MR-guided HIFU and EBRT interventions in the abdomen, where cardiac
activity might become problematic for current approaches.
