Whole-Brain Imaging of Subvoxel T1-Diffusion Correlation Spectra in Human Subjects

被引:15
作者
Avram, Alexandru V. [1 ,2 ]
Sarlls, Joelle E. [3 ]
Basser, Peter J. [1 ]
机构
[1] Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, NIH, Bethesda, MD 20892 USA
[2] Henry M Jackson Fdn Adv Mil Med, Ctr Neurosci & Regenerat Med, Bethesda, MD 20817 USA
[3] NINDS, NIH, Bldg 36,Rm 4D04, Bethesda, MD 20892 USA
关键词
isotropic diffusion encoding; T1-diffusion weighting; correlation spectroscopic MRI; multidimensional MRI; relaxation spectroscopy MRI; mean diffusivity distribution; relaxographic imaging; inversion recovery; ATTENUATED INVERSION-RECOVERY; 2D MRI RELAXOMETRY; DIFFUSION TENSOR; IN-VIVO; MAGNETIZATION-TRANSFER; MYELIN WATER; CONSTRAINED OPTIMIZATION; SELECTIVE EXCITATION; MULTICOMPONENT T-1; WHITE-MATTER;
D O I
10.3389/fnins.2021.671465
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
T1 relaxation and water mobility generate eloquent MRI tissue contrasts with great diagnostic value in many neuroradiological applications. However, conventional methods do not adequately quantify the microscopic heterogeneity of these important biophysical properties within a voxel, and therefore have limited biological specificity. We describe a new correlation spectroscopic (CS) MRI method for measuring how T1 and mean diffusivity (MD) co-vary in microscopic tissue environments. We develop a clinical pulse sequence that combines inversion recovery (IR) with single-shot isotropic diffusion encoding (IDE) to efficiently acquire whole-brain MRIs with a wide range of joint T1-MD weightings. Unlike conventional diffusion encoding, the IDE preparation ensures that all subvoxel water pools are weighted by their MDs regardless of the sizes, shapes, and orientations of their corresponding microscopic diffusion tensors. Accordingly, IR-IDE measurements are well-suited for model-free, quantitative spectroscopic analysis of microscopic water pools. Using numerical simulations, phantom experiments, and data from healthy volunteers we demonstrate how IR-IDE MRIs can be processed to reconstruct maps of two-dimensional joint probability density functions, i.e., correlation spectra, of subvoxel T1-MD values. In vivo T1-MD spectra show distinct cerebrospinal fluid and parenchymal tissue components specific to white matter, cortical gray matter, basal ganglia, and myelinated fiber pathways, suggesting the potential for improved biological specificity. The one-dimensional marginal distributions derived from the T1-MD correlation spectra agree well with results from other relaxation spectroscopic and quantitative MRI studies, validating the T1-MD contrast encoding and the spectral reconstruction. Mapping subvoxel T1-diffusion correlations in patient populations may provide a more nuanced, comprehensive, sensitive, and specific neuroradiological assessment of the non-specific changes seen on fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted MRIs (DWIs) in cancer, ischemic stroke, or brain injury.
引用
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页数:16
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