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Abstract #2206

Local Thickness Adaptation for Curved Slice Selection

Hans Weber1, Martin Haas1, Denis Kokorin2, 3, Daniel Gallichan1, Jrgen Hennig1, Maxim Zaitsev1

1Department of Radiology, Medical Physics,, University Medical Center Freiburg, Freiburg, Germany; 2Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany; 3International Tomography Center, Novosibirsk, Russian Federation

ExLoc allows excitation and geometrically matched spatial encoding of customized curved slices, based on a combination of linear and nonlinear gradients. However, the nonlinearity of the applied slice-selection field results in curved slices with varying thickness. In this study we investigate the combination of the ExLoc technique with multi-dimensional RF-pulses for the adaptation of the slice-thickness variation. Compared to conventional multi-dimensional excitation with linear encoding fields to excite a curved slice, using this approach allows considerably shorter RF-pulses to be used.