An automated three-dimensional particle tracking technique for the study of modeled arterial flow fields.
An automated three-dimensional particle tracking technique has been developed to study particle motion in modeled flow fields. A high speed video recording system. Kodak Ektapro 1000, with two cameras arranged relatively orthogonally is used for this technique. The particle tracking data are compared to theoretical Poiseuille flow and to laser Doppler data from an axisymmetric stenosis model. The particle tracking data are in good agreement with both theoretical and laser Doppler data, and at least 79 percent of the particle paths were determined successfully. Fluid dynamic properties derived by this technique are: 3-D particle paths, velocity, and particle residence time.
Tsao
R
R
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Jones
S A
SA
Giddens
D P
DP
Zarins
C K
CK
Glagov
S
S
D000465:Algorithms; D000818:Animals; D001158:Arteries / Q000502:physiology*; D001696:Biomechanical Phenomena; D001698:Biomedical Engineering; D006439:Hemodynamics / Q000502:physiology*; D018056:Hemorheology / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008955:Models, Cardiovascular