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Fast 3 D rosette spectroscopic imaging of neocortical abnormalities at 3 T : Assessment of spectral quality
Author(s) -
Schirda Claudiu V.,
Zhao Tiejun,
Yushmanov Victor E.,
Lee Yoojin,
Ghearing Gena R.,
Lieberman Frank S.,
Panigrahy Ashok,
Hetherington Hoby P.,
Pan Jullie W.
Publication year - 2018
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26901
Subject(s) - white matter , nuclear medicine , magnetic resonance imaging , rosette (schizont appearance) , nuclear magnetic resonance , chemistry , metabolite , physics , medicine , radiology , biochemistry , immunology
Purpose To use a fast 3D rosette spectroscopic imaging acquisition to quantitatively evaluate how spectral quality influences detection of the endogenous variation of gray and white matter metabolite differences in controls, and demonstrate how rosette spectroscopic imaging can detect metabolic dysfunction in patients with neocortical abnormalities. Methods Data were acquired on a 3T MR scanner and 32‐channel head coil, with rosette spectroscopic imaging covering a 4‐cm slab of fronto‐parietal‐temporal lobes. The influence of acquisition parameters and filtering on spectral quality and sensitivity to tissue composition was assessed by LCModel analysis, the Cramer‐Rao lower bound, and the standard errors from regression analyses. The optimized protocol was used to generate normative white and gray matter regressions and evaluate three patients with neocortical abnormalities. Results As a measure of the sensitivity to detect abnormalities, the standard errors of regression for Cr/NAA and Ch/NAA were significantly correlated with the Cramer‐Rao lower bound values (R = 0.89 and 0.92, respectively, both with P < 0.001). The rosette acquisition with a duration of 9.6 min, produces a mean Cramer‐Rao lower bound (%) over the entire slab of 4.6 ± 2.6 and 5.8 ± 2.3 for NAA and Cr, respectively. This enables a Cr/NAA standard error of 0.08 (i.e., detection sensitivity of 25% for a 50/50 mixed gray and white matter voxel). In healthy controls, the regression of Cr/NAA versus fraction gray matter in the cingulate differs from frontal and parietal regions. Conclusions Fast rosette spectroscopic imaging acquisitions with regression analyses are able to identify metabolic differences across 4‐cm slabs of the brain centrally and over the cortical periphery with high efficiency, generating results that are consistent with clinical findings. Magn Reson Med 79:2470–2480, 2018. © 2017 International Society for Magnetic Resonance in Medicine.