dc.contributor.authorVan Reeth, Eric
dc.contributor.authorTham, Ivan W. K.
dc.contributor.authorTan, Cher Heng
dc.contributor.authorPoh, Chueh Loo
dc.identifier.citationVan Reeth, E., Tham, I. W. K., Tan, C. H.,& Poh, C. L. (2012). Super-resolution in magnetic resonance imaging: A review. Concepts in Magnetic Resonance Part A, 40A(6), 306-325.en_US
dc.description.abstractFor the last 15 years, super-resolution (SR) algorithms have successfully been applied to magnetic resonance imaging (MRI) data to increase the spatial resolution of scans after acquisition has been performed, thus facilitating the doctors' diagnosis. The variety of application and techniques has grown ever since, especially in the MRI modality, showing the interest of the community to such postacquisition processing. This article presents a review of the general principle of SR as well as how this principle has been adapted to MRI data. The main algorithms and the principal acquisition protocols are detailed for both static and moving subjects. The presented strategies are discussed and compared according to the data specificities. Later, different ways of measuring the resolution enhancement and quantify the benefit of SR are detailed. Finally, unexplored perspectives on the application of SR to MRI data are discussed.en_US
dc.relation.ispartofseriesConcepts in magnetic resonance part Aen_US
dc.titleSuper-resolution in magnetic resonance imaging : a reviewen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US

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