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.