Abstract
The acceleration of dynamic MRI studies such as fMRI would be a killing application of the recently developed compressed sensing techniques. We present the application of a spatiotemporal total variation reconstruction algorithm to undersampled rat fMRI series. In addition to the t maps extraction, a quantitative analysis of the percentage signal change has been performed to assess the maximum acceleration feasible. Undersampling up to 50%(x2 acceleration) can be applied without significant percentage signal change loss, and the activation maps preserve their shape within that range. To our knowledge, this is the first work performing quantitative analysis in compressed sensing reconstructions of rat fMRI data.
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© 2014 Springer International Publishing Switzerland
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Chavarrias, C., Abascal, J.F.P.J., Montesinos, P., Desco, M. (2014). How Does Compressed Sensing Affect Activation Maps in Rat fMRI?. In: Roa Romero, L. (eds) XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013. IFMBE Proceedings, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-00846-2_50
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DOI: https://doi.org/10.1007/978-3-319-00846-2_50
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00845-5
Online ISBN: 978-3-319-00846-2
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