Polyunsaturated fatty acid (PUFA) is associated with malignant transformation of breast cancer and can be extracted from overwhelming background signals using multiple quantum coherence (MQC) MRS. Since MQC loses half of the signal, SNR enhancement through effective combination of signals acquired from multi channel coils holds significant potential. Investigations so far focused on conventional brain MRS, with drastically different metabolites and cluttered appearance compared to MQC MRS in breast. We therefore acquired PUFA spectra from 17 fresh breast tumour specimens and a patient on a clinical 3T scanner, and current algorithms of adaptively optimised combination (AOC), S/N2, S/N, Signal evaluated.
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