We propose a novel integral model describing the motion of both flexible and rigid slender fibers in viscous flow and develop a numerical method for simulating dynamics of curved rigid fibers. The model is derived from nonlocal slender body theory (SBT), which approximates flow near the fiber using singular solutions of the Stokes equations integrated along the fiber centerline. In contrast to other models based on (singular) SBT, our model yields a smooth integral kernel which incorporates the (possibly varying) fiber radius naturally. The integral operator is provably negative definite in a nonphysical idealized geometry, as expected from the partial differential equation theory. This is numerically verified in physically relevant geometries. We discuss the convergence and stability of a numerical method for solving the integral equation. The accuracy of the model and method is verified against known models for ellipsoids. Finally, we develop an algorithm for computing dynamics of rigid fibers with complex geometries in the case where the fiber density is much greater than that of the fluid, for example, in turbulent gas-fiber suspensions.
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A chi-square type test for time-invariant fiber pathways of the brain: HARDI extension
Integral curve estimation is a well-established method for reconstructing in vivo nerve fiber pathways in thewhite matter of the brain. Using longitudinal high angular resolution diffusion imaging (HARDI) data, weformulate the longitudinal ensemble of fiber trajectories as an integral curve with the parameter time. The goalof this article is to develop a test statistic to determine whether there are anatomically plausible changes innerve fibers with two directions, such as crossing, kissing, or bending fibers. We envision that rejecting thenull hypothesis could help identify a potential anatomical biomarker for neurodegenerative diseases, such asAlzheimer’s disease.
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- Award ID(s):
- 2111251
- PAR ID:
- 10632673
- Publisher / Repository:
- Zenodo
- Date Published:
- Subject(s) / Keyword(s):
- Statistics FOS: Mathematics kernel smoothing integral curve diffusion-weighted magnetic resonance imaging
- Format(s):
- Medium: X
- Right(s):
- Creative Commons Attribution 4.0 International
- Sponsoring Org:
- National Science Foundation
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