Spatially-segmented undersampled temperature map reconstruction for transcranial MR-guided focused ultrasound
Pooja Gaur1, Xue Feng2, Samuel Fielden2, Craig H Meyer2, Beat Werner3, and William A Grissom1
1Vanderbilt University, Nashville, TN, United States, 2University of Virginia, Charlottesville, VA, United States, 3University Children's Hospital, Zurich, Switzerland
temperature imaging is desirable to improve spatiotemporal coverage during MR-guided
focused ultrasound procedures in the brain. Circulating water prevents skull overheating,
but also creates signal variations that disrupt correlations between
images collected before and during treatment (which are relied on to
overcome undersampling artifacts), leading to errors in temperature
measurements. We propose a spatially-segmented iterative reconstruction method,
which applies the k-space hybrid model to reconstruct temperature changes in
the brain and a POCS method to reconstruct the image in the water bath. Separately
reconstructing brain and water bath signal results in lower temperature error when undersampling k-space.
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