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Abstract #0681

Detecting rapid organ motion using a hybrid MR-ultrasound setup and Bayesian data processing

Matthew Toews 1 , Chang-Sheng Mei 1 , Renxin Chu 1 , W. Scott Hoge 1 , Lawrence P Panych 1 , and Bruno Madore 1

1 Department of Radiology, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States

Modeling and compensating for patient motion can be an important aspect of MR-guided therapeutic procedures, such as biopsies or ablations. Rapid and irregular patient motion, such as coughing or gasping, is particularly challenging as it may degrade MR images and confound registration algorithms. This work proposes an approach to detecting rapid motion from 1D ultrasound (US) measurements within a hybrid MR-US motion tracking system. A Bayesian algorithm handles the flow of hybrid data, and a metric based on the instantaneous organ velocity along the US beam is employed to detect periods of unusual motion activity such as coughing.

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