Joint reconstruction framework of compressed sensing and nonlinear parallel imaging for dynamic card...
Joint reconstruction framework of compressed sensing and nonlinear parallel imaging for dynamic cardiac magnetic resonance imaging
About this item
Full title
Author / Creator
Hu, Zhanqi , Zhao, Cailei , Zhao, Xia , Kong, Lingyu , Yang, Jun , Wang, Xiaoyan , Liao, Jianxiang and Zhou, Yihang
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Compressed Sensing (CS) and parallel imaging are two promising techniques that accelerate the MRI acquisition process. Combining these two techniques is of great interest due to the complementary information used in each. In this study, we proposed a novel reconstruction framework that effectively combined compressed sensing and nonlinear parallel...
Alternative Titles
Full title
Joint reconstruction framework of compressed sensing and nonlinear parallel imaging for dynamic cardiac magnetic resonance imaging
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_10e7da0d9c2747a6aab1de706c4f471f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_10e7da0d9c2747a6aab1de706c4f471f
Other Identifiers
ISSN
1471-2342
E-ISSN
1471-2342
DOI
10.1186/s12880-021-00685-2
