What question did this study set out to answer?

The aim is to enhance image reconstruction for echo planar imaging using nonequidistant k-space sampling techniques.

February 1, 1992

Image reconstruction for echo planar imaging with nonequidistant k‐space sampling

Key Points

The aim is to enhance image reconstruction for echo planar imaging using nonequidistant k-space sampling techniques.
Utilized a sinusoidal readout gradient for k-space sampling ensuring non-equidistant data acquisition.
Converted the non-equidistant data to a Cartesian grid using either interpolation or a generalized transformation.
Employing filtering methods to minimize typical ghosting artifacts in echo planar imaging.
Computer simulations demonstrated effective minimization of ghosting artifacts with the new methods.
Experimental images showed improved quality with the sinusoidal gradient technique over conventional methods.

Abstract

Echo planar imaging is characterized by scanning the 2D k-space after a single excitation. Different sampling patterns have been proposed. A technically feasible method uses a sinusoidal readout gradient resulting is measured data that does not sample k-space in an equidistant manner. In order to employ a conventional 2D-FFT image reconstruction, the data have to be converted to a cartesian grid. This can be done either by interpolation or alternatively by a generalized transformation. Filtering methods are described to minimize ghosting artifact that is typical in echo planar imaging. Results both from computer simulation and from experiments will be presented. Experimental images were obtained using a 2-T whole-body research system.

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Image reconstruction for echo planar imaging with nonequidistant k‐space sampling

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Abstract

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