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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data
verfasst von : Priya Aggarwal, Anubha Gupta, Ajay Garg
Erschienen in: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
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This paper proposes a method of voxel-wise hemodynamic response function (HRF) estimation using sparsity and smoothing constraints on the HRF. The slow varying baseline drift at the voxel time-series is initially estimated via empirical mode decomposition (EMD). This estimation is refined by two-stage optimization that estimates HRF and slow-varying noise iteratively. In addition, this paper proposes a novel method of finding voxel activation via projection of voxel time-series on signal subspace constructed using the prior estimates of HRF. The performance of the proposed method is demonstrated on both synthetic and real fMRI data.