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Abstract #4594

Regularized CG-SENSE for 30-channel 23Na head MRI at 7T

Melanie Schellenberg1, Armin M. Nagel1,2, Peter Bachert1, Mark E. Ladd1, and Nicolas G. R. Behl1

1Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 2Institute of Radiology, University Hospital Erlangen, Erlangen, Germany

23Na MRI provides important information for many pathologies. However, its low SNR entails low spatial resolutions and long acquisition times. The proposed work reconstructs 3D radially undersampled in vivo 30-channel 23Na head data at B0=7T with a sensitivity encoding using a nonlinear conjugate gradient method (CG-SENSE) including a total variation and a discrete cosine transform. With CG-SENSE using iteratively generated Lagrangian coil sensitivities, image quality and contrast within the object are improved compared to sum of squares (SOS) and adaptive combination (ADC) reconstructions.

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