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

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

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.