Enhancing Functional Neuroimages: Wavelet Denoising as an Alternative to Gaussian Smoothing

Alle Meije Wink, Jos B.T.M. Roerdink

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Abstract

We present a general wavelet-based denoising scheme for functional neuroimages and compare it to Gaussian smoothing, the standard method in functional neuroimaging. We adapted WaveLab thresholding routines to 2D data, and tested their effect on the signal-to-noise ratio of noisy images. In a simulated time series test, we also investigated the shapes of detected activations after denoising.
Original languageEnglish
Title of host publicationEPRINTS-BOOK-TITLE
PublisherUniversity of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science
Number of pages6
Publication statusPublished - 2002

Keywords

  • signal-to-noise ratio
  • denoising
  • functional neuroimaging
  • wavelets

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