Ontology highlight
ABSTRACT:
SUBMITTER: He J
PROVIDER: S-EPMC5487008 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature
He Jingfei J Liu Qiegen Q Christodoulou Anthony G AG Ma Chao C Lam Fan F Liang Zhi-Pei ZP
IEEE transactions on medical imaging 20160412 9
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 of the data space and for image reconstruction from highly undersampled data. More specifically, the propos ...[more]