Open Access
4 March 2015 Structure tensor analysis of serial optical coherence scanner images for mapping fiber orientations and tractography in the brain
Hui Wang, Christophe Lenglet, Taner Akkin
Author Affiliations +
Funded by: US National Institutes of Health: the National Institute of Biomedical Imaging and Bioengineering, National Institute of Neurological Disorders and Stroke
Abstract
Quantitative investigations of fiber orientation and structural connectivity at microscopic resolution have led to great challenges for current neuroimaging techniques. Here, we present a structure tensor (ST) analysis of ex vivo rat brain images acquired by a multicontrast (MC) serial optical coherence scanner. The ST considers the gradients of images in local neighbors to generate a matrix whose eigen-decomposition can estimate the local features such as the edges, anisotropy, and orientation of tissue constituents. This computational analysis is applied on the conventional- and polarization-based contrasts of optical coherence tomography. The three-dimensional (3-D) fiber orientation maps are computed from the image stacks of sequential scans both at mesoresolution for a global view and at high-resolution for the details. The computational orientation maps demonstrate a good agreement with the optic axis orientation contrast which measures the in-plane fiber orientation. Moreover, tractography is implemented using the directional information extracted from the 3-D ST. The study provides a unique opportunity to leverage MC high-resolution information to map structural connectivity of the whole brain.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2015/$25.00 © 2015 SPIE
Hui Wang, Christophe Lenglet, and Taner Akkin "Structure tensor analysis of serial optical coherence scanner images for mapping fiber orientations and tractography in the brain," Journal of Biomedical Optics 20(3), 036003 (4 March 2015). https://doi.org/10.1117/1.JBO.20.3.036003
Published: 4 March 2015
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Cited by 50 scholarly publications and 1 patent.
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KEYWORDS
Brain

Brain mapping

3D image processing

System on a chip

Coherence (optics)

Neuroimaging

Scanners

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