1 November 2008 Multiscale structural analysis of mouse lingual myoarchitecture employing diffusion spectrum magnetic resonance imaging and multiphoton microscopy
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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-μm 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.
© (2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
Terry Alden Gaige, Terry Alden Gaige, Hyuk-Sang Kwon, Hyuk-Sang Kwon, Guangping Dai, Guangping Dai, Victor C. Cabral, Victor C. Cabral, Ruopeng Wang, Ruopeng Wang, Yoon Sung Nam, Yoon Sung Nam, Bevin P. Engelward, Bevin P. Engelward, Van J. Wedeen, Van J. Wedeen, Peter T. C. So, Peter T. C. So, Richard J. Gilbert, Richard J. Gilbert, } "Multiscale structural analysis of mouse lingual myoarchitecture employing diffusion spectrum magnetic resonance imaging and multiphoton microscopy," Journal of Biomedical Optics 13(6), 064005 (1 November 2008). https://doi.org/10.1117/1.3046724 . Submission:
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