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In vivo breath‐hold 1 H MRS simultaneous estimation of liver proton density fat fraction, and T 1 and T 2 of water and fat, with a multi‐TR, multi‐TE sequence
Author(s) -
Hamilton Gavin,
Middleton Michael S.,
Hooker Jonathan C.,
Haufe William M.,
Forbang Nketi I.,
Allison Matthew A.,
Loomba Rohit,
Sirlin Claude B.
Publication year - 2015
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24946
Subject(s) - repeatability , nuclear medicine , nuclear magnetic resonance , mathematics , medicine , physics , statistics
Purpose To examine the intra‐examination repeatability of proton density fat fraction (PDFF) and T 1 and T 2 of liver water and fat as estimated by a novel multi‐repetition time (TR)‐echo time (TE) 1 H magnetic resonance spectroscopy (MRS)‐stimulated echo acquisition mode (STEAM) sequence that acquires 32 spectra for a range of TRs and TEs in single breath‐hold. Materials and Methods Sixty‐seven subjects undergoing liver MRI examinations at 3T had three multi‐TR‐TE sequences acquired consecutively in a single session. This sequence was designed to allow accurate estimation of T 1 and T 2 of both water and fat, as well as PDFF, in a single breath‐hold. A standard long‐TR, multi‐TE sequence was also acquired to allow comparison of estimated PDFF. Regression and interclass correlation (ICC) analyses were performed. Results There was strong agreement between PDFF estimated by the multi‐TR‐TE and long‐TR, multi‐TE sequences (slope 0.997; intercept −0.03; R = 0.997). The multi‐TR‐TE sequence had high repeatability for estimating PDFF (ICC = 0.999), water T 2 (ICC = 0.920), water T 1 (ICC = 0.845), and fat T 2 (ICC = 0.760), and moderate repeatability for estimating fat T 1 (ICC = 0.556). Conclusion A novel multi‐TR‐TE sequence can estimate PDFF and water and fat T 1 and T 2 in a single breath‐hold. Refinement may be needed to improve repeatability for fat T 1 estimation. J. MAGN. RESON. IMAGING 2015;42:1538–1543.