Optimum SNR data compression in hardware using an Eigencoil array

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DOIResolve DOI: http://doi.org/10.1002/mrm.22295
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Journal titleMagnetic Resonance in Medicine
Pages13461356; # of pages: 11
Subjectphased array; signal-to-noise ratio; SNR; receiver channel reduction; data compression
AbstractWith the number of receivers available on clinical MRI systems now ranging from 8 to 32 channels, data compression methods are being explored to lessen the demands on the computer for data handling and processing. Although software-based methods of compression after reception lessen computational requirements, a hardware-based method before the receiver also reduces the number of receive channels required. An eight-channel Eigencoil array is constructed by placing a hardware radiofrequency signal combiner inline after preamplification, before the receiver system. The Eigencoil array produces signal-to-noise ratio (SNR) of an optimal reconstruction using a standard sum-of-squares reconstruction, with peripheral SNR gains of 30% over the standard array. The concept of “receiver channel reduction” or MRI data compression is demonstrated, with optimal SNR using only four channels, and with a three-channel Eigencoil, superior sum-of-squares SNR was achieved over the standard eight-channel array. A three-channel Eigencoil portion of a product neurovascular array confirms in vivo SNR performance and demonstrates parallel MRI up to R = 3. This SNR-preserving data compression method advantageously allows users of MRI systems with fewer receiver channels to achieve the SNR of higher-channel MRI systems.
Publication date
AffiliationNRC Institute for Biodiagnostics; National Research Council Canada
Peer reviewedYes
NPARC number17673505
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Record identifierfde268a8-117b-48e9-b3d3-e073c836313b
Record created2011-04-03
Record modified2016-05-09
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