Continuous pseudo-inverse image reconstruction in spiral magnetic resonance imaging

摘要: A minimum-norm least-squares image-reconstruction method for the reconstruction of magnetic resonance images from non-Cartesian sampled data is proposed. The based on a general formalism continuous-to-discrete mapping and pseudo-inverse calculation. It does not involve any regridding or interpolation therefore methodology differs fundamentally existing regridding-based methods. Moreover, uses continuous representation objects in image domain instead discretized representation. Simulations experiments show possibilities spiral imaging. revealed that can result decrease artifacts compared with reconstruction. Besides, both vivo phantom showed leads to contrast improvement increased signal-to-noise ratio regridding. At end this paper, some possible applications our technique are