Functional magnetic resonance inverse imaging of human visuomotor systems using eigenspace linearly constrained minimum amplitude (eLCMA) beamformer
نویسندگان
چکیده
منابع مشابه
Functional magnetic resonance inverse imaging of human visuomotor systems using eigenspace linearly constrained minimum amplitude (eLCMA) beamformer
Recently proposed dynamic magnetic resonance (MR) inverse imaging (InI) is a novel parallel imaging reconstruction technique capable of improving the temporal resolution of blood-oxygen level-dependent (BOLD) contrast functional MRI (fMRI) to the order of milliseconds at the cost of moderate spatial resolution. Volumetric InI reconstructs spatial information from projection data by solving ill-...
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INTRODUCTION Dynamic magnetic resonance (MR) inverse imaging (InI) can improve the temporal resolution of blood oxygen level dependent (BOLD) contrasts fMRI to the order of milliseconds [1]. In InI, the spatial resolution and the source localization accuracy both critically rely on the signal-to-noise ratio (SNR) of the measurements [1]. The localization of the functional activity in ill-posed ...
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INTRODUCTION Inspired by the source localization methods in electroencephalography (EEG) and magnetoencephalography (MEG) [1], magnetic resonance Inverse Imaging (InI) uses a highly parallel radio-frequency coil array to solve an inverse problem in image reconstruction [2]. Due to its intrinsic ill-posed nature, InI has a non-delta point-spread function. Previously we introduced the minimum-nor...
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Using simultaneous measurements from multiple channels of a radio-frequency coil array, magnetic resonance inverse imaging (InI) can achieve ultra-fast dynamic functional imaging of the human with whole-brain coverage and a good spatial resolution. Mathematically, the InI reconstruction is a generalization of parallel MRI (pMRI), which includes image space and k-space reconstructions. Because o...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2011
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2010.11.072