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Abstract #3467

Model-Based Iterative Reconstruction for diffusion Data with Phase Correction and Penalty Term

Thomas Hüfken1, Jannik Arbogast1, Anna-Katinka Bracher2, Meinrad Beer2, Henning Neubauer2, and Volker Rasche 1
1Internal Medicine II, University Ulm Medical Center, Ulm, Germany, 2Department of Radiology, University Ulm Medical Center, Ulm, Germany

A diffusion model is used to generate a synthetic k-space which is compared with acquired k-space data. Minimization of the cost function with an additional regularization term in form of a total variation is performed by a nonlinear conjugated gradient solver. Phase alterations due to strong diffusion gradients are considered by introduction of a phase operator. Data of nine human knee joints were acquired with a multi-shot diffusion weighted EPI sequence. Undersampling factors between R=1.5 and R=3.57 yielded excellent results for magnitude and ADC data.

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