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Abstract #0082

Image Reconstruction from Radially Acquired Data Using Multipolar Encoding Fields

Gerrit Schultz1, Hans Weber1, Daniel Gallichan1, Jrgen Hennig1, Maxim Zaitsev1

1Diagnostic Radiology - Medical Physics, University Hospital Freiburg, Freiburg, BW, Germany


In this contribution a radial imaging technique is presented in the context of nonlinear and non-bijective encoding fields. Efficient image reconstruction methods are described and analyzed. For multipolar encoding fields, the reconstruction can be performed in a particularly simple and useful way: The inverse Radon Transform to polar coordinates leads to undistorted images represented in polar coordinates. In the angular direction pixels are aliased equidistantly. Therefore a standard Cartesian SENSE algorithm is applicable for the unfolding process. The developed reconstruction method is applied to simulated as well as measured data to demonstrate each reconstruction step separately.

Keywords

reconstructionfieldsencodingtransformcoordinatesradialpolargridinverseradonalternativecoilpathwaysensitivityappliedcorrectiongradientontoradiallysensetransformedacquisitionadvantagesapplicableapplicationapplyingbasicbijectivedepicteddescribeddirectlydiscretedistortionequationfavorablefinallyintensity