2008
DOI: 10.1109/tmag.2008.2001697
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Least Squares Magnetic-Field Optimization for Portable Nuclear Magnetic Resonance Magnet Design

Abstract: Single-sided and mobile nuclear magnetic resonance (NMR) sensors have the advantages of portability, low cost, and low power consumption compared to conventional high-field NMR and magnetic resonance imaging (MRI) systems. We present fast, flexible, and easy-to-implement target field algorithms for mobile NMR and MRI magnet design. The optimization finds a global optimum in a cost function that minimizes the error in the target magnetic field in the sense of least squares.When the technique is tested on a ring… Show more

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Cited by 22 publications
(13 citation statements)
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“…To illustrate adjustability and imaging functionalities of the sensor, we picked 2 nonoverlapping sensitive volumes centered at a distance 1.0 and 1.8 cm from the magnet surface (or equivalently, 3.0 and 3.8 cm from the center of the magnet rods). We note that the magnet array can also produce sensitive volumes over a continuous range of distances (17). Each of these volumes was characterized by acquiring a magnetic field map as shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…To illustrate adjustability and imaging functionalities of the sensor, we picked 2 nonoverlapping sensitive volumes centered at a distance 1.0 and 1.8 cm from the magnet surface (or equivalently, 3.0 and 3.8 cm from the center of the magnet rods). We note that the magnet array can also produce sensitive volumes over a continuous range of distances (17). Each of these volumes was characterized by acquiring a magnetic field map as shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…1B). As the sensitive volume is pushed away from the sensor's surface, it shrinks along the direction of the magnet rod axes because homogeneity along this axis relies on the extent to which these rods approximate rods of infinite length; this approximation breaks down at distances on the order of a quarter of the rod length (17).…”
Section: Resultsmentioning
confidence: 99%
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