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Abstract #4394

Three-Nearest-Neighbor Alignment for Smooth ESPIRiT Maps

Dara Bahri 1 , Martin Uecker 1 , and Michael Lustig 1

1 Electrical Engineering and Computer Sciences, University of California, Berkeley, California, United States

ESPIRiT is a subspace-based method that estimates coil sensitivity maps from calibration data. It produces maps where only the relative phase is known. Often, the phase of a single coil is used as reference, which can result in non-smooth phase. This is problematic for phase-sensitive applications and compressed sensing as it reduces the sparsity of the image. In this work we propose a technique for determining basis vectors for ESPIRiT maps which are smoothly aligned in space. In addition to producing smooth phase in the maps, it prevents mixing of signal components as might occur when imaging a tight FOV.

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