Coil combination for receive array spectroscopy: Are data-driven methods superior to methods using computed field maps?

ABSTRACT:

Purpose

Combining spectra from receive arrays, particularly X-nuclear spectra with low signal-to-noise ratios (SNRs), is challenging. We test whether data-driven combination methods are better than using computed coil sensitivities.

Theory

Several combination algorithms are recast into the notation of Roemer's classic formula, showing that they differ primarily in their estimation of coil receive sensitivities. This viewpoint reveals two extensions of the whitened singular-value decomposition (WSVD) algorithm, using temporal or temporal + spatial apodization to improve the coil sensitivities, and thus the combined spectral SNR.

Methods

Radiofrequency fields from an array were simulated and used to make synthetic spectra. These were combined with 10 algorithms. The com

SUBMITTER: Rodgers CT 

PROVIDER: S-EPMC4744755 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature