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 50 条
  • [21] Retrieving neuronal orientations using 3D scanning SAXS and comparison with diffusion MRI
    Georgiadis, Marios
    Schroeter, Aileen
    Gao, Zirui
    Guizar-Sicairos, Manuel
    Novikov, Dmitry S.
    Fieremans, Els
    Rudin, Markus
    NEUROIMAGE, 2020, 204
  • [22] Quantification of anisotropy and orientation in 3D electron microscopy and diffusion tensor imaging in injured rat brain
    Salo, Raimo A.
    Belevich, Ilya
    Manninen, Eppu
    Jokitalo, Eija
    Grohn, Olli
    Sierra, Alejandra
    NEUROIMAGE, 2018, 172 : 404 - 414
  • [23] On the risk of manual annotations in 3D confocal microscopy image segmentation
    Sonneck, Justin
    Zhao, Shuo
    Chen, Jianxu
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, 2023, : 3896 - 3904
  • [24] Spherical Fluorescent Particle Segmentation and Tracking in 3D Confocal Microscopy
    Puybareau, Elodie
    Carlinet, Edwin
    Benfenati, Alessandro
    Talbot, Hugues
    MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING, ISMM 2019, 2019, 11564 : 520 - 531
  • [25] Influences of edges and steep slopes in 3D interference and confocal microscopy
    Xie, Weichang
    Hagemeier, Sebastian
    Woidt, Carsten
    Hillmer, Hartmut
    Lagmann, Peter
    OPTICAL MICRO- AND NANOMETROLOGY VI, 2016, 9890
  • [26] Correlative Confocal and 3D Electron Microscopy of a Specific Sensory Cell
    Bohorquez, Diego
    Haque, Fariha
    Medicetty, Satish
    Liddle, Rodger A.
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2015, (101): : 1 - 8
  • [27] QUANTIFICATION OF THE 3D COLLAGEN NETWORK GEOMETRY IN CONFOCAL REFLECTION MICROSCOPY
    Maska, Martin
    Ederra, Cristina
    Fernandez-Marques, Javier
    Munoz-Barrutia, Arrate
    Kozubek, Michal
    Ortiz-de-Solorzano, Carlos
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 1791 - 1794
  • [28] Innovative "Confocal SEM" 3D microscopy in a biological context.
    Mathisen, C.
    Lich, B.
    Bourhorbel, F.
    Humbel, B.
    Loussert, C.
    MOLECULAR BIOLOGY OF THE CELL, 2012, 23
  • [29] Surface determination of 3D confocal Raman microscopy imaging of the skin
    Schleusener, J.
    Carrer, V.
    Patzelt, A.
    Lademann, J.
    Darvin, M. E.
    LASER PHYSICS LETTERS, 2017, 14 (12)
  • [30] Frames-based denoising in 3D confocal microscopy imaging
    Konstantinidis, Ioannis
    Santamaria-Pang, Alberto
    Kakadiaris, Ioannis A.
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 290 - 293