1987
DOI: 10.1016/0730-725x(87)90127-5
|View full text |Cite
|
Sign up to set email alerts
|

Multi-exponential relaxation analysis with MR imaging and NMR spectroscopy using fat-water systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

3
21
0

Year Published

1993
1993
2017
2017

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 43 publications
(29 citation statements)
references
References 9 publications
3
21
0
Order By: Relevance
“…Previous human studies (21)(22)(23)(24)(25)(26) have shown statistically significant correlations between imaging and spectroscopic FFs, but the accuracy of imaging relative to that of spectroscopy has been inconsistent. Imaging FF generally has been calculated from fat and water signal intensities (rather than PDs) and therefore has been affected by sequence type (23,27,28), imaging parameters (28)(29)(30)(31), and tissue relaxation properties (32-34) due to confounding T1 and T2* (or T2) relaxation effects.…”
Section: Methodsmentioning
confidence: 95%
“…Previous human studies (21)(22)(23)(24)(25)(26) have shown statistically significant correlations between imaging and spectroscopic FFs, but the accuracy of imaging relative to that of spectroscopy has been inconsistent. Imaging FF generally has been calculated from fat and water signal intensities (rather than PDs) and therefore has been affected by sequence type (23,27,28), imaging parameters (28)(29)(30)(31), and tissue relaxation properties (32-34) due to confounding T1 and T2* (or T2) relaxation effects.…”
Section: Methodsmentioning
confidence: 95%
“…In using this correction, components of lipid resonances with short T, (T2 < 50 ms, (26)) have a much broadened PSF with increased sidelobe amplitudes (Fig. 3c).…”
Section: T Effects On Resolutionmentioning
confidence: 94%
“…With use of a multiecho GRE sequence with multiple flip angles or repetition times, it is possible to obtain estimates of the proton density, T1, and T2* of the fat and water signal components by plugging the data into the equation (46). Nonlinear curve-fitting algorithms are now standard in most commercial statistical analysis software packages.…”
Section: T1-and T2*-corrected Fat Quantification-mentioning
confidence: 99%