Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI

被引:70
作者
Schilling, Kurt [1 ,2 ]
Janve, Vaibhav [1 ,2 ]
Gao, Yurui [1 ,2 ]
Stepniewska, Iwona [3 ]
Landman, Bennett A. [1 ,2 ,4 ]
Anderson, Adam W. [1 ,2 ]
机构
[1] Vanderbilt Univ, Inst Imaging Sci, 1161 21st Ave South,Med Ctr North AA-1105, Nashville, TN 37232 USA
[2] Vanderbilt Univ, Dept Biomed Engn, Nashville, TN 37232 USA
[3] Vanderbilt Univ, Dept Psychol, Nashville, TN 37232 USA
[4] Vanderbilt Univ, Dept Elect Engn, Nashville, TN 37232 USA
基金
美国国家卫生研究院;
关键词
Diffusion MRI; Validation; Fiber orientation distribution; DTI; Crossing fibers; STRUCTURE TENSOR ANALYSIS; MAGNETIC-RESONANCE; HUMAN BRAIN; HISTOLOGICAL VALIDATION; LIGHT-MICROSCOPY; WEIGHTED MRI; SPHERICAL DECONVOLUTION; IMAGE REGISTRATION; NERVOUS-SYSTEM; MONTE-CARLO;
D O I
10.1016/j.neuroimage.2016.01.022
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The ability of diffusion MRI (dMRI) fiber tractography to non-invasivelymap three-dimensional (3D) anatomical networks in the human brain has made it a valuable tool in both clinical and research settings. However, there are many assumptions inherent to any tractography algorithm that can limit the accuracy of the reconstructed fiber tracts. Among them is the assumption that the diffusion-weighted images accurately reflect the underlying fiber orientation distribution (FOD) in the MRI voxel. Consequently, validating dMRI's ability to assess the underlying fiber orientation in each voxel is critical for its use as a biomedical tool. Here, using post-mortem histology and confocal microscopy, we present a method to perform histological validation of orientation functions in 3D, which has previously been limited to two-dimensional analysis of tissue sections. We demonstrate the ability to extract the 3D FOD from confocal z-stacks, and quantify the agreement between the MRI estimates of orientation information obtained using constrained spherical deconvolution (CSD) and the true geometry of the fibers. We find an orientation error of approximately 6 degrees in voxels containing nearly parallel fibers, and 10-11 degrees in crossing fiber regions, and note that CSD was unable to resolve fibers crossing at angles below 60 degrees in our dataset. This is the first time that the 3D white matter orientation distribution is calculated from histology and compared to dMRI. Thus, this technique serves as a gold standard for dMRI validation studies-providing the ability to determine the extent to which the dMRI signal is consistent with the histological FOD, and to establish how well different dMRI models can predict the ground truth FOD. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:185 / 197
页数:13
相关论文
共 75 条
  • [1] Spatial transformations of diffusion tensor magnetic resonance images
    Alexander, DC
    Pierpaoli, C
    Basser, PJ
    Gee, JC
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (11) : 1131 - 1139
  • [2] Multiple-fiber reconstruction algorithms for diffusion MRI
    Alexander, DC
    [J]. WHITE MATTER IN COGNITIVE NEUROSCIENCE: ADVANCES IN DIFFUSION TENSOR IMAGING AND ITS APPLICATIONS, 2005, 1064 : 113 - +
  • [3] Measurement of fiber orientation distributions using high angular resolution diffusion imaging
    Anderson, AW
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2005, 54 (05) : 1194 - 1206
  • [4] Arseneau S., 2006, STRUCTURE TENSOR INT
  • [5] Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain
    Assaf, Y
    Basser, PJ
    [J]. NEUROIMAGE, 2005, 27 (01) : 48 - 58
  • [6] Axelsson M, 2008, 19 INT C PATT REC, P1, DOI DOI 10.1109/ICPR.2008.4761631
  • [7] MR DIFFUSION TENSOR SPECTROSCOPY AND IMAGING
    BASSER, PJ
    MATTIELLO, J
    LEBIHAN, D
    [J]. BIOPHYSICAL JOURNAL, 1994, 66 (01) : 259 - 267
  • [8] Basser PJ, 1996, J MAGN RESON SER B, V111, P209, DOI [10.1006/jmrb.1996.0086, 10.1016/j.jmr.2011.09.022]
  • [9] The basis of anisotropic water diffusion in the nervous system - a technical review
    Beaulieu, C
    [J]. NMR IN BIOMEDICINE, 2002, 15 (7-8) : 435 - 455
  • [10] Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
    Behrens, T. E. J.
    Berg, H. Johansen
    Jbabdi, S.
    Rushworth, M. F. S.
    Woolrich, M. W.
    [J]. NEUROIMAGE, 2007, 34 (01) : 144 - 155