Meeting Banner
Abstract #0818

Motion Compensation using Principal Component Analysis and Projection onto Dipole Fields for Abdominal Magnetic Resonance Thermometry during High-Intensity Focused Ultrasound

Jeremy Tan1,2,3, Adam C. Waspe1,2, Charles Mougenot4, Kullervo Hynynen1,5, James M. Drake1,2, and Samuel Pichardo3,6

1University of Toronto, Toronto, ON, Canada, 2Hospital for Sick Children, Toronto, ON, Canada, 3Thunder Bay Regional Research Institute, Thunder Bay, ON, Canada, 4Philips Healthcare, Toronto, ON, Canada, 5Sunnybrook Research Institute, Toronto, ON, Canada, 6Electrical Engineering, Lakehead University, Thunder Bay, ON, Canada

Accurate thermometry during abdominal high-intensity focused ultrasound is severely compromised by motion and susceptibility artifacts. A hybrid artifact correction method has been developed using principal component analysis as a multi-baseline method and projection onto dipole fields as a near-referenceless approach. The hybrid algorithm was tested using free-breathing porcine and human subjects and achieved an average temperature stability and precision of 0.31 (±0.22) °C and 1.18 (±0.94) °C, respectively in the kidney.

This abstract and the presentation materials are available to members only; a login is required.

Join Here