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Abstract #2867

Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancerĀ 

Vasiliki Mallikourti1, Sai Man Cheung1, Tanja Gagliardi 2,3, Nicholas Senn1, Yazan Masannat4, Trevor McGordlrick5, Ravi Sharma5, Steven Heys1,4, and Jiabao He1
1Institute of Medical Sciences, School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 2Department of Clinical Radiology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Department of Radiology, Royal Marsden Hospital, London, United Kingdom, 4Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 5Department of Oncology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom

Signal combination algorithms, designed for 1D MRS, were adapted for lipid composition spectra acquired using 2D MRS of double quantum filtered correlation spectroscopy (DQF-COSY). The algorithms of adaptively optimised combination (AOC), noise decorrelated combination (nd-comb), and whitened singular value decomposition (WSVD) were evaluated on lipid composition spectra from healthy volunteers and patients with breast cancer (tumour and peritumoural adipose tissue). WSVD provided maximal SNR uniformly across all spectral peaks. WSVD, through the elimination of additional acquired reference spectrum, shortens acquisition in patients to less than 11 min instead of 17 min while maintaining sensitivity.

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