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Abstract #4243

Impact of wavelets and apodisation in magnetic resonance spectroscopy quality for paediatric brain tumours

Dadi Zhao1,2, James T Grist1,2, Yu Sun1,2, and Andrew C Peet1,2

1Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, 2Birmingham Children’s Hospital NHS Foundation Trust, Birmingham, United Kingdom

Ependymomas, medulloblastomas and pilocytic astrocytomas are common paediatric central nervous system tumours. In vivo 1H magnetic resonance spectroscopy is a non-invasive technique to determine tumour metabolic characteristics, however suffers from limited signal-to-noise ratios. Our previous studies demonstrated that metabolite concentration estimation may be improved through wavelet de-noising on both simulated and in vivo MRS data, as reflected by improved tumour classification. In this study we compared improvements in fit quality using both wavelets and apodisation on simulated and in vivo MRS data of the three tumours by measuring overall and regional SNR.

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