Abstract #4993

Validation of an MR Thermometry Motion Compensation Algorithm for Periodic Motion During MR guided High Intensity Focused Ultrasound (MRgHIFU)

Suzanne M Wong^1,2, Craig A Macsemchuk^1,2, Andrew Headrick¹, Phoebe Luo¹, Arthur Akbulatov¹, James M Drake^1,2, and Adam C Waspe^1,3

¹Posluns Centre for Image Guided Innovation & Therapeutic Interventions, Hospital for Sick Children, Toronto, ON, Canada, ²Department of Biomedical Engineering, University of Toronto, Toronto, ON, Canada, ³Department of Medical Imaging, University of Toronto, Toronto, ON, Canada

Synopsis

Keywords: Motion Correction, ThermometryMagnetic resonance-guided high-intensity focused ultrasound (MRgHIFU) can noninvasively administer controlled hyperthermia as an adjuvant cancer therapy. For clinical translation, one of the main challenges is the sensitivity of MR thermometry to motion artifacts. This work aims to validate a real-time hybrid principal component analysis and projection onto dipole fields (PCA-PDF) motion compensation algorithm on a clinical MRgHIFU system during reproducible motion profiles. The real-time PCA-PDF algorithm maintained a temperature standard deviation of < 1°C in a phantom while the periodic motion was induced on a phantom using an MR-compatible robot.

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