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Abstract #2589

Dynamic anti-aliasing image reconstruction for localized thermal therapies

Henrik Odéen1 and Dennis L Parker1

1Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States

A novel image reconstruction algorithm for dynamic anti-aliasing image reconstruction (DAIR) of proton resonance frequency shift (PRFS) MR temperature maps from subsampled k-space data for localized heatings is presented. DAIR makes use of a pre-heating, fully sampled image to find and remove the aliasing artifact in a dynamic series of images. The algorithm is demonstrated using CAIPI-like sampling patterns in a 3D segmented EPI pulse sequence and focused ultrasound heatings in a tissue mimicking gelatin phantom. DAIR reconstructed PRFS temperature maps showed good agreement with fully sampled “truth” for k-space reduction factors of 2 – 4.

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