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1.
NMR Biomed ; 28(8): 976-987, 2015 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-26084563

RESUMEN

Diffusion-weighted MRS (DWS) of brain metabolites enables the study of cell-specific alterations in tissue microstructure by probing the diffusion of intracellular metabolites. In particular, the diffusion properties of neuronal N-acetylaspartate (NAA), typically co-measured with N-acetylaspartyl glutamate (NAAG) (NAA + NAAG = tNAA), have been shown to be sensitive to intraneuronal/axonal damage in pathologies such as stroke and multiple sclerosis. Lacking, so far, are empirical assessments of the reproducibility of DWS measures across time and subjects, as well as a systematic investigation of the optimal acquisition parameters for DWS experiments, both of which are sorely needed for clinical applications of the method. In this study, we acquired comprehensive single-volume DWS datasets of the human corpus callosum at 3 T and 7 T. We investigated the inter- and intra-subject variability of empirical and modeled diffusion properties of tNAA [D(avg) (tNAA) and D(model) (tNAA), respectively]. Subsequently, we used a jackknife-like resampling approach to explore the variance of these properties in partial data subsets reflecting different total scan durations. The coefficients of variation (C(V)) and repeatability coefficients (C(R)) for D(avg) (tNAA) and D(model) (tNAA) were calculated for both 3 T and 7 T, with overall lower variability in the 7 T results. Although this work is limited to the estimation of the diffusion properties in the corpus callosum, we show that a careful choice of diffusion-weighting conditions at both field strengths allows the accurate measurement of tNAA diffusion properties in clinically relevant experimental time. Based on the resampling results, we suggest optimized acquisition schemes of 13-min duration at 3T and 10-min duration at 7 T, whilst retaining low variability (C(V) ≈ 8%) for the tNAA diffusion measures. Power calculations for the estimation of D(model )(tNAA) and D(avg) (tNAA) based on the suggested schemes show that less than 21 subjects per group are sufficient for the detection of a 10% effect between two groups in case-control studies.


Asunto(s)
Ácido Aspártico/análogos & derivados , Cuerpo Calloso/anatomía & histología , Cuerpo Calloso/química , Imagen de Difusión por Resonancia Magnética/métodos , Aumento de la Imagen/métodos , Espectroscopía de Resonancia Magnética/métodos , Adulto , Ácido Aspártico/análisis , Estudios de Factibilidad , Femenino , Humanos , Masculino , Imagen Molecular/métodos , Dosis de Radiación , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Distribución Tisular
2.
Magn Reson Med ; 73(6): 2053-61, 2015 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-24986121

RESUMEN

PURPOSE: Diffusion-weighted chemical shift imaging (DW-CSI) of brain metabolites poses significant challenges associated with the acquisition of spectroscopic data in the presence of strong diffusion weighting gradients. We present a reproducible DW-CSI acquisition and processing scheme that addresses most of the potential sources of instability and provides reproducible and anatomically meaningful diffusion-weighted and apparent diffusion coefficient (ADC) metabolite maps. METHODS: A real-time navigator-based acquisition scheme was used, allowing instantaneous reacquisition of corrupted k-space data and postprocessing correction of gradient-induced phase fluctuations. Eddy current correction based on residual water resonance was implemented and improved the quality of the data significantly. RESULTS: Highly reproducible diffusion-weighted metabolite maps of three highest concentration brain metabolites are shown. The navigator-based accept/reject strategy and the postacquisition corrections improved the stability of the DW-CSI signal and the reproducibility of the resulting DW-CSI maps significantly. The metabolite ADC values could be related to the underlying tissue cellular composition. CONCLUSION: Robust investigation of DW-CSI of brain metabolites is feasible and may provide information complementary to that obtained from more sensitive but less specific methods such as diffusion tensor imaging.


Asunto(s)
Química Encefálica , Mapeo Encefálico/métodos , Encéfalo/metabolismo , Imagen de Difusión por Resonancia Magnética/métodos , Adulto , Artefactos , Femenino , Voluntarios Sanos , Humanos , Procesamiento de Imagen Asistido por Computador , Imagenología Tridimensional , Masculino , Fantasmas de Imagen , Reproducibilidad de los Resultados
3.
J Biomed Opt ; 16(8): 086010, 2011 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-21895322

RESUMEN

A method to locate an absorber embedded in a semi-infinite turbid medium by spatially-resolved continuous-wave (SRCW) diffuse reflectance measurements is introduced. The depth of the absorber is assessed by single wavelength SRCW diffuse reflectance measurements by two detectors in a radial row. The ratio of perturbations introduced by the defect at two detectors is used to be matched with the ratio-versus-depth curve, which are generated by approximate formulas of continuous wave diffuse reflectance. The error due to approximation and the error in depth assessment are studied for different cases revealing favorable source-detector placements with respect to planar position of the defect. The effect of lateral displacement of the source with respect to defect is studied. A strategy to overcome errors introduced by erroneous prediction of background medium optical properties is suggested. Theoretical results indicate that the depth of the absorber can be obtained with 0.1 mm precision independent of its absorption coefficient and its size for the values chosen in the study. The approach is tested experimentally and it is observed that theoretical results fit with experimental data.


Asunto(s)
Rayos Infrarrojos , Modelos Químicos , Nefelometría y Turbidimetría/métodos , Dispersión de Radiación , Absorción , Simulación por Computador , Difusión , Emulsiones/química , Luz , Fosfolípidos/química , Procesamiento de Señales Asistido por Computador , Aceite de Soja/química
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