A Principal Component Analysis Based Multi-baseline Phase Correction Method for PRF Thermometry
This technology includes a novel Principal Component Analysis (PCA) based approach to correct motion related B0 changes in PRF thermometry. Proton Resonance Frequency (PRF) thermometry is a widely used Magnetic Resonance Imaging (MRI) based technique to monitor changes in tissue temperature in response to thermal therapy. The use of PRF thermometry with thermal therapy procedures is indispensable to ensure delivery of desired thermal dose to the target tissue, and to minimize unintended damage to the normal tissue. PRF thermometry relies on phase difference between the acquired images, and therefore motion related baseline changes in organs of interest and background adversely affect the accuracy of temperature difference estimates, even when registration-based motion correction is performed to correct for displacements.