A temporal deconvolution algorithm for multiecho functional MRI

Publication Type:

Conference Paper

Source:

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (2018)

Keywords:

biomedical MRI, Blood flow, BOLD fMRI signal, BOLD responses, BOLD signal, Brain, deconvolution, Functional magnetic resonance imaging, Generalized LASSO, inverse problem, inverse problems, ME-PFM, medical signal processing, Multiecho functional MRI, multiecho functional MRI data, multiecho paradigm free mapping, net magnetization, paradigm free mapping, previous deconvolution approaches, temporal deconvolution algorithm, Timing, transverse relaxation

Abstract:

<p>This work introduces a novel method for the temporal deconvolution of the BOLD signal for multiecho functional MRI (fMRI) data: Multiecho Paradigm Free Mapping (ME-PFM). By solving an inverse problem with the Generalized LASSO, this method obtains voxelwise time-varying estimates of the changes in the transverse relaxation (R) and the net magnetization (So) of the fMRI signal without prior knowledge of the timings of the BOLD responses. Our results with experimental data demonstrate that the maps of R changes obtained with ME-PFM at the times of the stimulus trials closely resemble the maps obtained with a standard approach that is aware of the onsets and durations of the events. Compared with previous deconvolution approaches for BOLD fMRI, this method yields estimates of R changes in physiologically interpretable units, which is particularly relevant for the quantification of the dynamics of the BOLD fMRI signal during tasks and resting state.</p>

Project: 
  • National Institute of Health
  • National Institute of Mental Health
  • Department of Health and Human Services