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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