Time-resolved parallel imaging with a reduced dynamic field of view

This paper introduces a novel method for accelerated dynamic image acquisition for cardiac MRI. This method combines two different formalisms for reconstruction from sparse data by incorporation of prior information. Parallel imaging uses information about coil geometry in imaging systems with multiple receiver coils. Reduced field of view (rFOV) imaging exploits knowledge about static regions in a dynamic image scene. The novel method combines the SPACE-RIP implementation of parallel imaging with the Noquist rFOV imaging method, which both use a direct inversion model for image reconstruction. The theory is presented for integrated application of these methods, and results are presented of supporting experiments with simulated and real MRI data, retrospectively subsampled to generate sparse data sets. Successful application of the method confirms multiplicative combined acceleration.