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Abstract #4563

In-Vivo-Sensitivity-Based Regularization of Parallel MR Image Reconstruction

Qi Duan1, Ricardo Otazo1, Jian Xu2, Daniel K. Sodickson1

1Radiology, Center for Biomedical Imaging, NYU School of Medicine, New York, NY, USA; 2Siemens Medical Solutions USA Inc., New York, NY, USA

This abstract demonstrates the technical feasibility of regularization of parallel MR image reconstruction using in vivo coil sensitivities. This new approach not only combines coil sensitivity calibration and regularization of the inverse problem, but also provides better signal-to-noise ratio performance than a corresponding two-step scenario without substantially increasing residual aliasing artifacts. Ultimately, this approach could be applied to any SENSE-based parallel MRI technique, especially at high acceleration factor and when pure coil sensitivity profiles are difficult to estimate.