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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