• DocumentCode
    2804335
  • Title

    Motility and absorption in the small intestines: Integrating MRI with lattice Boltzmann models

  • Author

    Brasseur, James G. ; Banco, Gino G. ; Ailiani, Amit C. ; Wang, Yanxing ; Neuberger, Thomas ; Smith, Nadine B. ; Webb, Andrew G.

  • fYear
    2009
  • fDate
    June 28 2009-July 1 2009
  • Firstpage
    374
  • Lastpage
    377
  • Abstract
    Nutrients are absorbed in the small intestines at a mucosal epithelium that covers multitudes of villi, fingerlike protrusions ~200-400 mum in scale. The villi line the mucosal surface and have been observed to move in response to local stimulation. Luminal contractions (motility) create macro-scale fluid motions that transport nutrient molecules to the epithelium surrounding these moving micro-scale villi. We combine multi-scale modeling with dynamic magnetic resonance imaging (MRI) of the motions of the gut lumen to investigate the hypothesis that gut function requires the coupling of macro-micro scale fluid motions generated by lumen-scale motility with micro-scale motions generated by moving villi. We have developed 2-D models within the lattice-Boltzmann framework with second-order moving boundary conditions for velocity and for passive ldquonutrientrdquo scalar concentrations. The first model was used to study the relative contributions of macro-scale peristaltic and segmental contractions on transport, mixing and absorption in the intestines. The macro-scale gut motions were quantified from time-resolved MRI of the in vivo rat jejunum using three-dimensional segmentation. The simulations show that segmental and peristaltic motions have disparate roles in fluid motion and nutrient absorption. The gut wall motions were decomposed with principle component analysis and analyzed using topographic space-time representations of deformation. These results suggest that the neurophysiology can produce a wide range of complex contractile patterns by stimulating only a few basic modes with varying phase relationship (MRI) and that absorption is optimized with segmental contraction with peristalsis interfering in absorption (modeling). To analyze the role of the villi in absorption, we designed a second 2-D model that mimics intestinal macro-micro scale flow interactions. Along the lower surface of a lid-driven macro-scale cavity flow we modeled a series of micro-scale ld- quovillirdquo with controlled coordinated motions using a multi-grid lattice-Boltzmann method. We discover the existence of a villi-induced ldquomicro-mixingrdquo layer that couples with the macro-scale motions to enhance absorption and show that a common assumption is incorrect in 2-D. These models have recently been extended to 3-D and will be combined in the future.
  • Keywords
    biological fluid dynamics; biological organs; biomedical MRI; deformation; image segmentation; lattice Boltzmann methods; medical image processing; microfluidics; principal component analysis; 2-D models; deformation; dynamic magnetic resonance imaging; fingerlike protrusions; gut wall motions; jejunum; lattice Boltzmann models; lid-driven macro-scale cavity flow; luminal contractions; macro-micro scale flow interactions; motility; mucosal epithelium; multi-scale modeling; nutrient molecules; peristalsis; principle component analysis; second-order moving boundary conditions; small intestines; three-dimensional segmentation; time-resolved MRI; topographic space-time representations; villi; Absorption; Boundary conditions; Couplings; Fluid dynamics; In vivo; Intestines; Lattice Boltzmann methods; Magnetic liquids; Magnetic resonance imaging; Surface topography; gastro-intestinal; lattice-Boltzmann; magnetic resonance imaging; motility; small intestine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
  • Conference_Location
    Boston, MA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-3931-7
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2009.5193062
  • Filename
    5193062