Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors
Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors
High-dimensional MR imaging often requires long data acquisition time, thereby limiting its practical applications. This paper presents a low-rank tensor based method for accelerated high-dimensional MR imaging using sparse sampling. This method represents high-dimensional images as low-rank tensors (or partially separable functions) and uses this mathematical structure for sparse sampling …