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Accelerated Dynamic Magnetic Resonance Imaging Using Learned Representations: A New Frontier in Biomedical Imaging

Authors :
Anthony G. Christodoulou
Sajan Goud Lingala
Source :
IEEE Signal Processing Magazine. 37:83-93
Publication Year :
2020
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2020.

Abstract

Dynamic magnetic resonance imaging (MRI) can be used to scan a wide range of dynamic processes within the body, including the motion of internal organs, tissue-level nuclear magnetic resonance (NMR) relaxation, and dynamic contrast enhancement (DCE) of dye agents. The ability of MRI to safely provide unique soft-tissue contrast and comprehensive functional information has made dynamic MRI central to a number of imaging exams for cardiac, interventional, vocal tract, cancer, and gastrointestinal applications, among others. Unfortunately, MRI is a notoriously slow imaging modality due to fundamental physical and physiological limitations. These limitations result in tradeoffs between spatial and temporal resolutions, spatial coverage, and the signal-to-noise ratio and have made dynamic MRI a challenging technical goal.

Details

ISSN :
15580792 and 10535888
Volume :
37
Database :
OpenAIRE
Journal :
IEEE Signal Processing Magazine
Accession number :
edsair.doi...........31f6d9cee9fc02c8b0f7353b69d0659f
Full Text :
https://doi.org/10.1109/msp.2019.2942180