3D Reconstruction of Individual Senile Plaques Just Below the Surface of the Brain [8 seconds]
This is a side-on view of methoxy-XO4-labeled plaques in a volume of brain immediately under the imaging window in an Alzheimer’s disease mouse model. The field of view is about 600x600 microns, and 250 microns deep. Multiphoton microscopy allows high-resolution imaging of fluorescence deep within the living brain. Brian Bacskai, Ph.D.
Massachusetts General Hospital
3-D Reconstruction of the Rat Small Intestines for Modeling Nutrient Transport in the Gut [4 seconds]
To provide the surface boundary conditions for computer simulations of macro-micro mixing motions of the small intestine, we carry out dynamic imaging of gut motility using magnetic resonance imaging of the rat small intestines. Shown is a three-dimensional reconstruction of stacked multi-slice static images of the rat stomach, a rather long duodenum and a tangled jejunum and ileum. From these reconstructions we select sites for time-resolved single-slice imaging to obtain boundary conditions for the modeling. This research was funded by the National Science Foundation, as part of the Interagency Modeling and Analysis Group’s (IMAG) Multiscale Modeling Initiative. This initiative is administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), a part of the National Institutes of Health. James G. Brasseur, Ph.D. and Andrew G. Webb, Ph.D.
Pennsylvania State University
Model of a Cadaver Knee in a Dynamic Knee Simulator [10 seconds]
Animation of a computational model of a cadaver knee exercised in a dynamic knee loading machine. The knee loading machine is simulating the motion and forces of a walk cycle. Knee geometries are from MR images of the cadaver knee. The same forces that are applied to the cadaver knee by the machine are inputs to the computational model. The resulting knee motions, both experimental and computational, are compared.
This research was funded by the National Science Foundation, as part of the Interagency Modeling and Analysis Group’s (IMAG) Multiscale Modeling Initiative. This initiative is administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), a part of the National Institutes of Health. Trent M. Guess, Ph.D.
University of Missouri - Kansas City
Simulation of Platelet Aggregation in the Presence of Red Blood Cells [50 seconds]
Simulation of platelet aggregation in the presence of red blood cells. The red cells are modeled as large rigid spheres, shown in white. The activated platelets are shown in red, the triggered platelets are shown in green, and the passive platelets are shown in blue.
This research was funded by the National Science Foundation, as part of the Interagency Modeling and Analysis Group’s (IMAG) Multiscale Modeling Initiative. This initiative is administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), a part of the National Institutes of Health. George Em Karniadakis, Ph.D.
Brown University
Computer Simulation of Platelet Aggregation [35 seconds]
Shown is a computer simulation of platelet aggregation in a 50-micron vessel with flow velocity of 100 microns/s. Red blood cells are treated as continuum. Platelets are allowed to adhere anywhere on the vessels walls and to each other. Three activated platelets are placed on the wall to initiate the process. The activated platelets are shown in red, the triggered platelets are shown in green, and the passive platelets are shown in blue.
This research was funded by the National Science Foundation, as part of the Interagency Modeling and Analysis Group’s (IMAG) Multiscale Modeling Initiative. This initiative is administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), a part of the National Institutes of Health. George Em Karniadakis, Ph.D.
Brown University
Simulation of Red Blood Cell Tank-Treading Motion in Shear Flow [9 seconds]
Dissipative Particle Dynamics (DPD) simulation of red blood cell tank-treading motion in shear flow. A two-dimensional network of interacting DPD particles is embedded in a three-dimensional closed surface to represent the membrane. The deformation characteristics of the RBC membrane are obtained by incorporating the effects of spontaneous curvature of the lipid bilayers material, structural relaxation of the in-plane shear energy, and geometrical constraints of fixed surface area and fixed enclosed volume.
This research was funded by the National Science Foundation, as part of the Interagency Modeling and Analysis Group’s (IMAG) Multiscale Modeling Initiative. This initiative is administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), a part of the National Institutes of Health. George Em Karniadakis, Ph.D.
Brown University
