Simultaneous Bayesian correction of slab boundary artifacts and bias field for high resolution ex vivo MRI
Iglesias, J. Eugenio
Paz-Alonso, Pedro M.
Caballero Gaudes, César
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Iglesias, J.E., Paz-Alonso, P.M., Lerma-Usabiaga, G., Insausti, R., Miller, K., & Caballero-Gaudes, C. (2016). Simultaneous Bayesian correction of slab boundary artifacts and bias field for high resolution ex vivo MRI. IEEE International Symposium on Biomedical Imaging (ISBI), 1384-1387. Doi: 10.1109/ISBI.2016.7493525
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.