Magnetic resonance fingerprinting
Магнитно-резонансное «отпечатковое» сканирование
2013-03-01
SCID: 54.1/mepb3727
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MRFmagnetic resonance fingerprintingnon-invasive tissue characterizationpattern-recognition algorithmquantitative multiparametric MRI
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Abstract (AI)
Magnetic resonance is an exceptionally powerful and versatile measurement technique. The basic structure of a magnetic resonance experiment has remained largely unchanged for almost 50 years, being mainly restricted to the qualitative probing of only a limited set of the properties that can in principle be accessed by this technique. Here we introduce an approach to data acquisition, post-processing and visualization--which we term 'magnetic resonance fingerprinting' (MRF)--that permits the simultaneous non-invasive quantification of multiple important properties of a material or tissue. MRF thus provides an alternative way to quantitatively detect and analyse complex changes that can represent physical alterations of a substance or early indicators of disease. MRF can also be used to identify the presence of a specific target material or tissue, which will increase the sensitivity, specificity and speed of a magnetic resonance study, and potentially lead to new diagnostic testing methodologies. When paired with an appropriate pattern-recognition algorithm, MRF inherently suppresses measurement errors and can thus improve measurement accuracy.
Key Findings
1
MRF can identify the presence of specific target materials or tissues, increasing sensitivity, specificity, and speed of MR studies and enabling new diagnostics.
2
MRF enables quantitative detection and analysis of complex changes that may indicate physical alterations or early disease indicators.
3
MRF permits simultaneous, non-invasive quantification of multiple important material or tissue properties from a single measurement.
4
Magnetic resonance fingerprinting (MRF) is a new approach to data acquisition, post-processing, and visualization for magnetic resonance experiments.
5
When combined with pattern-recognition algorithms, MRF inherently suppresses measurement errors and can improve measurement accuracy.
Research Object
Magnetic resonance fingerprinting (MRF) as an approach to MR data acquisition, post-processing and visualization
Research Subject
Simultaneous non-invasive quantitative estimation and identification of multiple material or tissue properties, including improved sensitivity, specificity, speed, and accuracy via pattern-recognition-based suppression of measurement errors
Publication Details
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2013-03-01
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