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BibTeX
Signal-to-noise ratio and signal-to-noise efficiency in SMASH imaging
Magnetic resonance in medicine, 1999-05, Vol.41 (5), p.1009-1022
Sodickson, Daniel K.
Griswold, Mark A.
Jakob, Peter M.
Edelman, Robert R.
Manning, Warren J.
1999
Details
Autor(en) / Beteiligte
Sodickson, Daniel K.
Griswold, Mark A.
Jakob, Peter M.
Edelman, Robert R.
Manning, Warren J.
Titel
Signal-to-noise ratio and signal-to-noise efficiency in SMASH imaging
Ist Teil von
Magnetic resonance in medicine, 1999-05, Vol.41 (5), p.1009-1022
Ort / Verlag
New York: John Wiley & Sons, Inc
Erscheinungsjahr
1999
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
A general theory of signal‐to‐noise ratio (SNR) in simultaneous acquisition of spatial harmonics (SMASH) imaging is presented, and the predictions of the theory are verified in imaging experiments and in numerical simulations. In a SMASH image, multiple lines of k‐space are generated simultaneously through combinations of magnetic resonance signals in a radiofrequency coil array. Here, effects of noise correlations between array elements as well as new correlations introduced by the SMASH reconstruction procedure are assessed. SNR and SNR efficiency in SMASH images are compared with results using traditional array combination strategies. Under optimized conditions, SMASH achieves the same average SNR efficiency as ideal pixel‐by‐pixel array combinations, while allowing imaging to proceed at otherwise unattainable speeds. The k‐space nature of SMASH reconstructions can lead to oscillatory spatial variations in noise standard deviation, which can produce local enhancements of SNR in particular regions. Magn Reson Med 41:1009–1022, 1999. © 1999 Wiley‐Liss, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 0740-3194
eISSN: 1522-2594
DOI: 10.1002/(SICI)1522-2594(199905)41:5<1009::AID-MRM21>3.0.CO;2-4
Titel-ID: cdi_proquest_miscellaneous_69771025
Format
–
Schlagworte
Abdomen - anatomy & histology
,
Adult
,
Algorithms
,
Biological and medical sciences
,
Brain - anatomy & histology
,
Computer Simulation
,
fast imaging
,
Forecasting
,
Fourier Analysis
,
Heart - anatomy & histology
,
Humans
,
Image Enhancement - methods
,
Image Processing, Computer-Assisted - instrumentation
,
Image Processing, Computer-Assisted - methods
,
Investigative techniques, diagnostic techniques (general aspects)
,
Magnetic Resonance Imaging - instrumentation
,
Magnetic Resonance Imaging - methods
,
Medical sciences
,
Miscellaneous. Technology
,
Models, Theoretical
,
Oscillometry
,
Phantoms, Imaging
,
Radiodiagnosis. Nmr imagery. Nmr spectrometry
,
RF coil arrays
,
Signal Processing, Computer-Assisted
,
SMASH imaging
,
SNR
,
Thorax - anatomy & histology
,
Time Factors
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