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 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.
Scientists from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) have developed a novel diffusion Magnetic Resonance Imaging (MRI) experimental and modeling framework to measure new and useful microanatomical features of white matter (and gray matter), which are closely related to the function of the central nervous system (CNS) or peripheral nervous system (PNS). This invention is available for licensing or co-development partners.
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.