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Statistical Analysis of Image Reconstructed Fully-Sampled and Sub-Sampled fMRI Data

Banff International Research Station for Mathematical Innovation and Discovery

In functional magnetic resonance imaging, images of the brain are acquired as rapidly as physically possible to cover the necessary brain, but also capture cognitive temporal dynamics. Although the standard gradient echo-echo planar k-space acquisition is relatively fast, when aggregated over many slices, it takes a relatively long time to obtain a single volume image. The reason for the appreciable amount of time for each image is the finite amount of time it takes to measure k-space data. Techniques to accelerate the image acquisition process have made much progress by measuring less k-space data and performing image reconstruction via an estimation of missing data using other image information. This talk will review the measurement and reconstruction of fully-sampled and sub-sampled k-space data in addition to their resulting statistical properties.

Mathematics; Statistics; Game theory, economics, social and behavioral sciences

video/mp4

Author affiliation: Marquette University

2016-08-02

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/58633

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/4.0/