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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.