作者: Mark Chiew , Stephen M. Smith , Peter J. Koopmans , Nadine N. Graedel , Thomas Blumensath
DOI: 10.1002/MRM.25395
关键词: Data acquisition 、 Sampling (statistics) 、 Truncation (statistics) 、 Independent component analysis 、 Matrix completion 、 Resting state fMRI 、 Artificial intelligence 、 Computer science 、 Pattern recognition 、 Data structure 、 Rank (linear algebra) 、 Computer vision
摘要: Purpose In functional MRI (fMRI), faster sampling of data can provide richer temporal information and increase temporal degrees of freedom. However, acceleration is generally …