Abstract #4992

Compensation for Sporadic Motion in MR Thermometry Though a Hybrid Augmented Multi-Baseline and Near-Referenceless Approach

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

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

Synopsis

Keywords: Motion Correction, Motion CorrectionMagnetic resonance-guided high-intensity focused ultrasound (MRgHIFU) treatments are limited by motion artifacts introduced into MR thermometry calculations by large sporadic motions. A hybrid principal component analysis and projection onto dipole fields (PCA-PDF) motion compensation algorithm was expanded upon to include predicted motion using image augmentation techniques. When tested on MR images from a gelatin phantom being translated in the coronal plane, the improved PCA-PDF algorithm yielded a temperature standard deviation of 0.4 ± 0.1 °C, which is a 3.7 ± 0.1 °C reduction from an unmodified PCA-PDF approach, indicating that thermometry artifacts induced by motion were significantly reduced.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.