Abstract #2281

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

Norman B Konyer¹, Nayana Menon¹, Paul Polak^1,2, Parameswaran Nair^3,4, Michael D Noseworthy^1,2, and Sarah Svenningsen^1,3,4

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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