Phased-array signal combination algorithms of adaptively optimised combination (AOC), noise decorrelated combination (nd-comb), whitened singular value decomposition (WSVD), S/N2, S/N, and Signal Weighting, were evaluated for enhancing the SNR of polyunsaturated fatty acids spectra acquired using MQC MRS from breast cancer. Data were acquired from seventeen breast tumours excised from patients, fifteen healthy volunteers and five patients with breast cancer. AOC yielded the maximum SNR improvement and was independent from voxel volume, PUFA content, or water/fat ratio. AOC improved SNR by 24% (relative to non-noise decorrelated algorithms) and shortened acquisition time in patients by 1.5 times while maintaining SNR.
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