# Magnetic Resonance in Medicine

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_{0}). However, the B

_{0}gradient equipment is expensive, power‐hungry, complex, and noisy and can induce eddy currents in nearby conducting structures, including the patient. Here, we describe a new silent, B

_{0}gradient‐free MRI principle, Transmit Array Spatial Encoding (TRASE), based on phase gradients of the...

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*q*‐space imaging with combined regional correction of radiofrequency‐ and

*T*

_{1}‐related signal loss in a single breath‐held scan. The technique is tested in computer simulations and phantom experiments and demonstrated in a healthy human volunteer...

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^{3}He MRI is proposed, addressing the shortcomings of an earlier approach that limited its use to small animals. The new approach allows for the acquisition...

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*p*O

_{2}) in a single 6‐sec breath hold, for use in human subjects with impaired lung function. Like previously described methods,

*p*O

_{2}values are obtained by measuring the oxygen‐induced

*T*

_{1}relaxation of inhaled hyperpolarized

^{3}He. Unlike other methods, only two

^{3}He images are acquired: one with reverse‐centric...

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*T*

_{2}relaxation time is a promising MRI parameter for the detection of cartilage degeneration in osteoarthritis. However, the accuracy and precision of the measured

*T*

_{2}may be substantially impaired by the low signal‐to‐noise ratio of images available from clinical examinations. The purpose of this work was to assess the accuracy and precision of the traditional fit methods (linear least‐squares regression...

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*T*

_{2}(q

*T*

_{2}) analysis involves creating

*T*

_{2}distributions using a regularized algorithm from region‐of‐interest averaged decay data. This study uses q

*T*

_{2}analysis of simulated and experimental decay signals to determine how (a) noise‐type, (b) regularization, and (c) region‐of‐interest versus multivoxel analyses affect

*T*

_{2}distributions. Our simulations indicate that regularization causes...

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*k*‐space sampling for nonlinear sparse MRI reconstruction is phrased as a Bayesian experimental design problem. Bayesian inference is approximated by a novel relaxation to standard signal processing primitives, resulting in an efficient optimization algorithm for Cartesian and spiral trajectories. On clinical resolution brain image data from a Siemens 3T scanner, automatically optimized...

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*k*‐space data are consistent. Errors in the navigator information, however, result in residual errors in each

*k*‐space line. This paper presents...