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  • Iglesiast, J. E.; Paz-Alonso, P.; Lerma-Usabiaga, G.; Insausti, R.; Miller, K.; Caballero-Gaudes, C.

    2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 04/2016
    Conference Proceeding, Journal Article

    Multi-slab MRI overcomes some of the hardware limitations of today's clinical scanners (e.g., memory size), enabling the acquisition of ultra-high resolution ex vivo MRI of the whole human brain with high SNR efficiency. However, multi-slab MRI suffers from slab boundary artifacts (SBA) that can greatly bias subsequent analyses. Since SBA heavily interplays with the bias field (BF) present in MRI, we propose a Bayesian method that corrects for SBA and BF simultaneously. The method, which combines a probabilistic brain atlas with an Expectation Maximization inference algorithm, is shown to outperform state-of-the-art SBA and BF correction techniques - even when used in combination.