The marginal distribution constrained optimization (MADCO) methodology is disclosed wherein a 2D (or higher-dimensional) spectrum is estimated from initial 1D marginal distribution data. These 1D marginal distributions are used as constraints in the reconstruction of the 2D spectra. MADCO accelerates and improves the reconstruction of multidimensional NMR relaxation/diffusion spectra, making it suitable for MRI applications on a voxel-by-voxel basis by vastly reducing the amount of data acquired and data necessary for creating MRI images.
Researchers at the NICHD seek licensing and/or co-development research collaborations for an MRI method that is based on the measurement and acquisition of multiple pulsed field gradient (m-PFG) rather than the previously used single pulsed field gradient (s-PFG) MRI sequences.
Researchers at the NICHD developed a method for non-invasively determining the distribution of pore lengths and radii within a matrix thereby characterizing cognitive defects observed in patients with Traumatic Brain Injury (TBI). The NICHD seeks licensing and/or co-development research collaborations to bring this invention to the public.
Researchers at the NICHD seek licensing and/or co-development research collaborations for a Magnetic Resonance Imaging (MRI) method to quantitatively measure in vivo the estimated conduction time of nerve impulses in the brain.