Functional Magnetic Resonance Imaging: An Improved Short Record Signal Model

Abstract

The number of measurement problems for which it is either difficult or expensive to obtain long measurement records is rising. This short-record issue particularly pops up in biomedical measurements. In this paper, we study the problem of modeling fMRI signals used to map brain activity. In this paper, it is shown that, by using a postprocessing technique that is well equipped to handle the short-record problem, either the spatial resolution or the detection accuracy of the active regions can be improved by at least 50%.