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Journal of Biomedical Optics

Structure tensor analysis of serial optical coherence scanner images for mapping fiber orientations and tractography in the brain
Author(s): Hui Wang; Christophe Lenglet; Taner Akkin
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Paper 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.

Paper Details

Date Published: 4 March 2015
PDF: 11 pages
J. Biomed. Opt. 20(3) 036003 doi: 10.1117/1.JBO.20.3.036003
Published in: Journal of Biomedical Optics Volume 20, Issue 3
Show Author Affiliations
Hui Wang, Univ. of Minnesota, Twin Cities (United States)
Christophe Lenglet, Univ. of Minnesota, Twin Cities (United States)
Taner Akkin, Univ. of Minnesota, Twin Cities (United States)


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