Multiscale structural analysis of mouse lingual myoarchitecture employing diffusion spectrum magnetic resonance imaging and multiphoton microscopy
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Author(s) • • • • • • • • •
Gaige, Terry
Kwon, Hyuk-Sang
Dai, Guangping
Cabral, Victor C.
Wang, Ruopeng
Nam, Yoon Sung
Engelward, Bevin P.
Wedeen, Van J.
So, Peter T. C.
Gilbert, Richard
Date Issued
November 2008
Journal
Journal of Biomedical Optics
Publisher
SPIE
Citation
Gaige, Terry A. et al. “Multiscale structural analysis of mouse lingual myoarchitecture employing diffusion spectrum magnetic resonance imaging and multiphoton microscopy.” Journal of Biomedical Optics 13.6 (2008): 064005-8. ©2008 SPIE
Version
Final published version
Abstract
The tongue consists of a complex, multiscale array of myofibers
that comprise the anatomical underpinning of lingual mechanical
function. 3-D myoarchitecture was imaged in mouse tongues with
diffusion spectrum magnetic resonance imaging DSI at 9.4 T bmax
7000 s /mm, 150- m isotropic voxels , a method that derives the
preferential diffusion of water/voxel, and high-throughput 10 fps
two-photon microscope TPM . Net fiber alignment was represented
for each method in terms of the local maxima of an orientational
distribution function ODF derived from the local diffusion DSI and
3-D structural autocorrelation TPM , respectively. Mesoscale myofiber
tracts were generated by alignment of the principal orientation
vectors of the ODFs. These data revealed a consistent relationship
between the properties of the respective ODFs and the virtual superimposition
of the distributed mesoscale myofiber tracts. The identification
of a mesoscale anatomical construct, which specifically links
the microscopic and macroscopic spatial scales, provides a method
for relating the orientation and distribution of cells and subcellular
components with overall tissue morphology, thus contributing to the
development of multiscale methods for mechanical analysis.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
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DOI of Published Version
https://doi.org/10.1117/1.3046724