%0 Journal Article
%T An augmented hybrid multibaseline and referenceless MR thermometry motion compensation algorithm for MRgHIFU hyperthermia.
%A Wong SM
%A Akbulatov A
%A Macsemchuk CA
%A Headrick A
%A Luo P
%A Drake JM
%A Waspe AC
%J Magn Reson Med
%V 91
%N 6
%D 2024 Jun 5
%M 38181187
%F 3.737
%R 10.1002/mrm.29988
%X <B>OBJECTIVE: </B>A hybrid principal component analysis and projection onto dipole fields (PCA-PDF) MR thermometry motion compensation algorithm was optimized with atlas image augmentation and validated.<BR><B>METHODS: </B>Experiments were conducted on a 3T Philips MRI and Profound V1 Sonalleve high intensity focused ultrasound (high intensity focused ultrasound system. An MR-compatible robot was configured to induce motion on custom gelatin phantoms. Trials with periodic and sporadic motion were introduced on phantoms while hyperthermia was administered. The PCA-PDF algorithm was augmented with a predictive atlas to better compensate for larger sporadic motion.<BR><B>RESULTS: </B>During periodic motion, the temperature SD in the thermometry was improved from  1 . 1 ± 0 . 1 $$ 1.1\pm 0.1 $$  to  0 . 5 ± 0 . 1 ∘   $$ 0.5\pm 0.{1}^{\circ } $$  C with both the original and augmented PCA-PDF application. For large sporadic motion, the augmented atlas improved the motion compensation from the original PCA-PDF correction from  8 . 8 ± 0 . 5 $$ 8.8\pm 0.5 $$  to  0 . 7 ± 0 . 1 ∘   $$ 0.7\pm 0.{1}^{\circ } $$  C.<BR><B>CONCLUSIONS: </B>The PCA-PDF algorithm improved temperature accuracy to <1°C during periodic motion, but was not able to adequately address sporadic motion. By augmenting the PCA-PDF algorithm, temperature SD during large sporadic motion was also reduced to <1°C, greatly improving the original PCA-PDF algorithm.