The main purpose of this toolbox is to process and visualize spectra data and allows to fit spectra using simulated basis spectra. Dynamic spectra and chemical shift data can be denoised using PCA based de-noising (Froeling et al. 2020). Back››
- Froeling, M., Prompers, J. J., Klomp, D. W. J., & van der Velden, T. A. 2021. “PCA denoising and Wiener deconvolution of 31P 3D CSI data to enhance effective SNR and improve point spread function.” Magnetic Resonance in Medicine 85 (6) , link››