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

被引:14
|
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
收藏
页数:16
相关论文
共 50 条
  • [31] MR-IMAGING IN CEREBRAL GLIOMAS - TISSUE COMPONENT ANALYSIS IN CORRELATION WITH HISTOPATHOLOGY OF WHOLE-BRAIN SPECIMENS
    TOVI, M
    HARTMAN, M
    LILJA, A
    ERICSSON, A
    ACTA RADIOLOGICA, 1994, 35 (05) : 495 - 505
  • [32] Efficient whole-brain tract-specific T1 mapping at 3T with slice-shuffled inversion-recovery diffusion-weighted imaging
    Leppert, Ilana R.
    Andrews, Daniel A.
    Campbell, Jennifer S. W.
    Park, Daniel J.
    Pike, G. Bruce
    Polimeni, Jonathan R.
    Tardif, Christine L.
    MAGNETIC RESONANCE IN MEDICINE, 2021, 86 (02) : 738 - 753
  • [33] Reproducibility study of whole-brain 1H spectroscopic imaging with automated quantification
    Gu, Meng
    Kim, Dong-Hyun
    Mayer, Dirk
    Sullivan, Edith V.
    Pfefferbaum, Adolf
    Spielman, Daniel M.
    MAGNETIC RESONANCE IN MEDICINE, 2008, 60 (03) : 542 - 547
  • [34] Column-based cortical depth analysis of the diffusion anisotropy and radiality in submillimeter whole-brain diffusion tensor imaging of the human cortical gray matter in vivo
    Ma, Yixin
    Bruce, Iain P.
    Yeh, Chun-Hung
    Petrella, Jeffrey R.
    Song, Allen W.
    Truong, Trong-Kha
    NEUROIMAGE, 2023, 270
  • [35] In Vivo Quantitative Whole-Brain T1 rho MRI of Multiple Sclerosis
    Gonyea, Jay V.
    Watts, Richard
    Applebee, Angela
    Andrews, Trevor
    Hipko, Scott
    Nickerson, Joshua P.
    Thornton, Lindsay
    Filippi, Christopher G.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2015, 42 (06) : 1623 - 1630
  • [36] A 4-minute solution for submillimeter whole-brain T1ρ quantification
    Zhu, Yanjie
    Liu, Yuanyuan
    Ying, Leslie
    Qiu, Zhilang
    Liu, Qiegen
    Jia, Sen
    Wang, Haifeng
    Peng, Xi
    Liu, Xin
    Zheng, Hairong
    Liang, Dong
    MAGNETIC RESONANCE IN MEDICINE, 2021, 85 (06) : 3299 - 3307
  • [37] Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project
    Esteban, Oscar
    Caruyer, Emmanuel
    Daducci, Alessandro
    Bach-Cuadra, Meritxell
    Ledesma-Carbayo, Maria J.
    Santos, Andres
    FRONTIERS IN NEUROINFORMATICS, 2016, 10
  • [38] In vivo monitoring of acute flavivirus (Modoc) encephalitis with regional and whole-brain quantitative diffusion magnetic resonance imaging
    Johann Sellner
    Pieter Leyssen
    Sabine Heiland
    Philipp Rau
    Johan Neyts
    Francisco Martinez-Torres
    Peter Schramm
    Werner Hacke
    Uta Meyding-Lamadé
    Journal of NeuroVirology, 2004, 10 : 255 - 259
  • [39] In vivo monitoring of acute flavivirus (Modoc) encephalitis with regional and whole-brain quantitative diffusion magnetic resonance imaging
    Sellner, J
    Leyssen, P
    Heiland, S
    Rau, P
    Neyts, J
    Martinez-Torres, F
    Schramm, P
    Hacke, W
    Meyding-Lamadé, U
    JOURNAL OF NEUROVIROLOGY, 2004, 10 (04) : 255 - 259
  • [40] Simultaneous Diffusion and T1 Weighted Contrast Imaging for Human Brain Mapping
    Nezamzadeh M.
    Schuff N.
    Iranian Journal of Medical Physics, 2021, 18 (05) : 339 - 345