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However, in practice MR acquisitions are often restricted to a qualitative or “weighted” measurement of a limited set of these properties the MR signal intensity is almost never quantitative by itself. Magnetic Resonance (MR) techniques such as NMR spectroscopy and Magnetic Resonance Imaging (MRI) are widely used throughout physics, biology and medicine because of their ability to generate exquisite information about numerous important material or tissue properties, including those reflective of many common disease states 1- 4. 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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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. 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. 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. The basic structure of an MR experiment has remained nearly constant for almost 50 years. Magnetic Resonance (MR) is an exceptionally powerful and versatile measurement technique.