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High-resolution Fiber-optic Microendoscopy for in situ Cellular Imaging
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Fiber ball imaging.

Jens H Jensen1, G Russell Glenn2, Joseph A Helpern2

  • 1Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Neuroimage
|October 4, 2015
PubMed
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This summary is machine-generated.

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Fiber ball imaging uses the inverse Funk transform of diffusion MRI data to estimate fiber orientation density functions (fODFs). This novel method enhances angular frequencies for sharper features, aiding white matter tractography.

Area of Science:

  • Neuroimaging
  • Diffusion MRI
  • Biophysics

Background:

  • Diffusion MRI (dMRI) is crucial for mapping white matter architecture.
  • Current methods like q-ball imaging approximate fiber orientation distribution functions (dODFs).
  • Accurate estimation of intra-axonal space is vital for microstructural modeling.

Purpose of the Study:

  • Introduce fiber ball imaging, a novel dMRI analysis technique.
  • Compare fiber ball imaging's fODF estimates with q-ball imaging's dODFs.
  • Evaluate the utility of fiber ball imaging for white matter tractography and microstructural modeling.

Main Methods:

  • Modeled axons as thin cylinders.
  • Applied the inverse Funk transform to dMRI signal intensity data on a spherical q-space shell.
Keywords:
BrainDiffusion MRIFiber orientation density functionFunk transformHigh-angular-resolution diffusion imagingQ-ball imaging

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  • Demonstrated the method on healthy human brain data.

    • Main Results:

    • Fiber ball imaging provides estimates for fiber orientation density functions (fODFs).
    • fODFs derived from fiber ball imaging exhibit sharper features than dODFs from q-ball imaging.
    • The method yields an estimate for the ratio of intra-axonal water fraction to the square root of intra-axonal diffusivity.

    Conclusions:

    • Fiber ball imaging offers a direct method for estimating fODFs from dMRI data.
    • The technique enhances higher angular frequencies, improving tractography resolution.
    • This approach holds promise for advanced white matter microstructural modeling.