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Abstract #2281

Discrete Wavelet Transform (DWT) Denoising of Hyperpolarized 129Xe MR Images

Norman B Konyer1, Nayana Menon1, Paul Polak1,2, Parameswaran Nair3,4, Michael D Noseworthy1,2, and Sarah Svenningsen1,3,4
1Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada, 2Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 3Department of Medicine, McMaster University, Hamilton, ON, Canada, 4Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada

Hyperpolarized 129Xe MRI is an attractive approach to regionally quantify ventilation, however, it often suffers from low SNR. The use of a wavelet transform algorithm was explored as a way to improve SNR while not compromising image detail. Various wavelets and sparsity parameters were explored, all of which provided a significant improvement in SNR while minimally impacting image detail.

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