Case Western Reserve University

Brian M Dale

Jeffrey L Duerk

Jonathan S Lewin

Daniel Robert Elgort

Hisamoto Moriguchi

An improved imaging technique and apparatus for direct temporal encoding of spatial information of an object is presented. The signal collected from the object after application of excitation energy in a magnetic field is directly representative of the spatial position of the object without the need for the signal to undergo mathematical transformation. This is a result of the excitation scheme that generates transverse magnetization across the field of view that is a function of X (read-out) and Z (slice select) positions, resulting in a two-dimensional phase profile that, upon application of a constant gradient along the Z axis, elicits a signal that is directly attributable to the spatial position along the read-out dimension without application of mathematical transformation.

Direct temporal encoding of spatial information

Methods are described for efficient reconstruction of MRI data. In one practice, new reconstruction algorithms for non-uniformly sampled k-space data are presented. In the disclosed algorithms, Iterative Next-Neighbor re-Gridding (INNG) and Block INNG (BINNG), iterative procedures are performed using larger rescaled matrices than the target grid matrix In BINNG algorithm, the sampled k-space region is partitioned into several blocks and the INNG algorithm is applied to each block. In another practice, a novel partial spiral reconstruction (PFSR) uses an estimated phase map from a low-resolution image reconstructed from the central k-space data and performs iterations, similar to the iterative procedures with INNG, with an imposed phase constraint. According to yet another practice, an off-resonance correction is performed on matrices that are smaller than the full image matrix. All these methods reduce the computational costs while rendering high-quality reconstructed images.

Efficient methods for reconstruction and deblurring of magnetic resonance images

A magnetic resonance data acquisition method includes designating a plurality of parameters that are representative of conditions for acquiring data from a magnetic resonance apparatus, at least one of the parameters being variable; designating at least one objective function measuring the quality of the acquired magnetic resonance data; optimizing the at least one objective function using an optimization algorithm to find at least one set of optimum values for the parameters characterizing data acquisition; configuring the magnetic resonance apparatus with the parameters determined above, configuring by one set of the optimum values of the parameters, and instructing a magnetic resonance imaging apparatus to apply the field to the target of the data acquisition to acquire the data.

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Euclid, OH, United States of America

Brian M Dale