Premium
Applications of reduced‐encoding MR imaging with generalized‐series reconstruction (RIGR)
Author(s) -
Webb Andrew G.,
Liang ZhiPei,
Magin Richard L.,
Lauterbur Paul C.
Publication year - 1993
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1880030622
Subject(s) - encoding (memory) , computer science , image resolution , magnetic resonance imaging , iterative reconstruction , temporal resolution , resolution (logic) , series (stratigraphy) , artificial intelligence , computer vision , basis (linear algebra) , set (abstract data type) , radiology , optics , mathematics , physics , medicine , paleontology , geometry , biology , programming language
The RIGR (reduced‐encoding imaging by generalized‐series reconstruction) technique for magnetic resonance imaging uses a high‐resolution reference image as the basis set for the reconstruction of subsequent images acquired with a reduced number of phase‐encoding steps. The technique allows increased temporal resolution in applications requiring repeated acquisitions, such as the dynamic imaging of contrast agent biodistribution, and in intrinsically time‐consuming protocols such as the acquisition of a series of T2‐weighted images. Several examples are presented to demonstrate that a four‐ to eightfold improvement in spatial or temporal resolution can be achieved with this technique.