Abstract #0818

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

Jeremy Tan^1,2,3, Adam C. Waspe^1,2, Charles Mougenot⁴, Kullervo Hynynen^1,5, James M. Drake^1,2, and Samuel Pichardo^3,6

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.

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