A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A method for partial volume correction of positron emission tomography (PET) images is proposed. The method is based on combining information from PET and high resolution anatomical images. Two different algorithms fast wavelet transform and à trous were implemented in order to decompose the PET and high resolution images. Results obtained using several simulated images show a significant partial volume reduction and image enhancement. The relative errors in the partial volume corrected image are always less than 3, 6% with respect to 16% of the original image.