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Accelerated Dynamic Magnetic Resonance Imaging Using Learned Representations: A New Frontier in Biomedical Imaging
- 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.
- Subjects :
- Modality (human–computer interaction)
medicine.diagnostic_test
Computer science
Applied Mathematics
media_common.quotation_subject
Relaxation (NMR)
020206 networking & telecommunications
Magnetic resonance imaging
02 engineering and technology
Dynamic contrast
Signal Processing
Dynamic contrast-enhanced MRI
0202 electrical engineering, electronic engineering, information engineering
Medical imaging
medicine
Contrast (vision)
Electrical and Electronic Engineering
Vocal tract
media_common
Biomedical engineering
Subjects
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