Multiparametric imaging with heterogeneous radiofrequency fields
Autor: | Daniel K. Sodickson, Kai Tobias Block, Graham C. Wiggins, Mary Bruno, Florian Knoll, Tiejun Zhao, Martijn A. Cloos |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Medical diagnostic
Computer science Radio Waves Science General Physics and Astronomy General Biochemistry Genetics and Molecular Biology Rf field Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Nuclear magnetic resonance Electromagnetic Fields Imaging Three-Dimensional Image Interpretation Computer-Assisted medicine In vivo measurements Humans Multidisciplinary medicine.diagnostic_test Extramural Phantoms Imaging Reproducibility of Results Magnetic resonance imaging General Chemistry Orthopaedic implant Magnetic Resonance Imaging Artifacts 030217 neurology & neurosurgery Biomedical engineering |
Zdroj: | Nature Communications, Vol 7, Iss 1, Pp 1-10 (2016) Nature Communications |
ISSN: | 2041-1723 |
Popis: | Magnetic resonance imaging (MRI) has become an unrivalled medical diagnostic technique able to map tissue anatomy and physiology non-invasively. MRI measurements are meticulously engineered to control experimental conditions across the sample. However, residual radiofrequency (RF) field inhomogeneities are often unavoidable, leading to artefacts that degrade the diagnostic and scientific value of the images. Here we show that, paradoxically, these artefacts can be eliminated by deliberately interweaving freely varying heterogeneous RF fields into a magnetic resonance fingerprinting data-acquisition process. Observations made based on simulations are experimentally confirmed at 7 Tesla (T), and the clinical implications of this new paradigm are illustrated with in vivo measurements near an orthopaedic implant at 3T. These results show that it is possible to perform quantitative multiparametric imaging with heterogeneous RF fields, and to liberate MRI from the traditional struggle for control over the RF field uniformity. Magnetic resonance fingerprinting (MRF) requires a uniform B1 + radiofrequency field. Here the authors present plug-n-play MRF, a technique that enables multiparametric imaging with heterogeneous B1 + fields, and demonstrate its utility in the presence of RF distortion caused by a metallic orthopaedic implant. |
Databáze: | OpenAIRE |
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