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Abstract #4121

Towards Real-Time Tracking of Anatomic Features for HIFU Beam Steering

David A. Hormuth1,2, Brian J. Zappia2, Andrew B. Holbrook3, Kim Butts-Pauly3, Charles L. Dumoulin2

1Biomedical Engineering, Rose Hulman Institute of Technology, Terre Haute, IN, United States; 2Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; 3Radiology, Stanford University, Stanford, CA, United States


Software for identifying and following anatomic features during real-time imaging was developed. This software was tested in real-time images of the liver during free breathing. It was able to successfully locate and follow the diaphragm and selected blood vessels within the liver during free breathing. These feature locations were used to generate the coordinates of an arbitrary target within the liver with sufficient speed and robustness to provide real-time offsets to a HIFU beam. It is anticipated that these algorithms will permit real-time ablation of liver lesions using HIFU during free-breathing and overcome the difficulties associated with breath held approaches.