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Abstract #1350

Multi-channel signal combination algorithms for polyunsaturated fatty acids (PUFA) using multiple quantum coherence (MQC) MRS in breast cancer

Vasiliki Mallikourti1, Sai Man Cheung1, Yazan Masannat2,3, Ehab Husain3,4, Steven D Heys2,3, and Jiabao He1

1University of Aberdeen, Aberdeen, United Kingdom, 2Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 4Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom

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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