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      Magnetic Resonance Fingerprinting

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          Summary

          Magnetic Resonance (MR) is an exceptionally powerful and versatile measurement technique. The basic structure of an MR experiment has remained nearly constant for almost 50 years. Here we introduce a novel paradigm, Magnetic Resonance Fingerprinting (MRF) that permits the non-invasive quantification of multiple important properties of a material or tissue simultaneously through a new approach to data acquisition, post-processing and visualization. MRF provides a new mechanism to quantitatively detect and analyze complex changes that can represent physical alterations of a substance or early indicators of disease. MRF can also be used to specifically identify the presence of a target material or tissue, which will increase the sensitivity, specificity, and speed of an MR study, and potentially lead to new diagnostic testing methodologies. When paired with an appropriate pattern recognition algorithm, MRF inherently suppresses measurement errors and thus can improve accuracy compared to previous approaches.

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          Most cited references62

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          Compressed sensing

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            A concordance correlation coefficient to evaluate reproducibility.

            L Lin (1989)
            A new reproducibility index is developed and studied. This index is the correlation between the two readings that fall on the 45 degree line through the origin. It is simple to use and possesses desirable properties. The statistical properties of this estimate can be satisfactorily evaluated using an inverse hyperbolic tangent transformation. A Monte Carlo experiment with 5,000 runs was performed to confirm the estimate's validity. An application using actual data is given.
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              Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                14 February 2013
                14 March 2013
                14 September 2013
                : 495
                : 7440
                : 187-192
                Affiliations
                [1 ]Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH, 44106, USA
                [2 ]Dept. of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Ave, Cleveland, OH, 44106, USA
                [3 ]Siemens Healthcare, Cleveland OH, 44106, USA
                Author notes
                Address for Correspondence: Dr. Mark Griswold, Ph.D., Case Western Reserve University, 11100 Euclid Ave - Bolwell B121, Cleveland, OH 44106, USA, mark.griswold@ 123456case.edu , Phone: +1-216-844-8085
                Article
                NIHMS441307
                10.1038/nature11971
                3602925
                23486058
                294b1725-7b75-4668-97b0-0186e783291c

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Heart, Lung, and Blood Institute : NHLBI
                Award ID: R01 HL094557 || HL
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