MADCO-Accelerated Multidimensional Diffusion MRI

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.NIH Ref. No.: E-173-2016Advantages: • Disruptive technologies can positively impact market penetration in a large and growing medical sector. In 2016, an estimated 39 million magnetic resonance imaging (MRI) procedures were performed – reflecting an average annual growth rate of ~4% since 2011. In the same year, over 8500 clinical sites offered the procedure.• Metabolomics; increased use in quantitative and metabolic screening applications, where the bottleneck in exploiting the higher information content of multidimensional spectra is the time required to acquire the magnetic resonance data.• The MADCO method would accelerate and improve the reconstruction of multidimensional NMR relaxation/diffusion spectra suitable for use in MRI, where reducing the amount of data required, reduces the time of scanning, and reduces the cost.• Imaging procedures such as MRIs use lower radiation levels compared with CT and PET scans, lowe...
Source: NIH OTT Licensing Opportunities - Category: Research Authors: Source Type: research