Abstract #2095

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

Accelerated 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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