Paper
8 March 1996 Simulation and visualization of 3D flow fields in the human cerebral ventricular system
Peter Cahoon, Douglas Cochrane, Ellen Grant
Author Affiliations +
Proceedings Volume 2656, Visual Data Exploration and Analysis III; (1996) https://doi.org/10.1117/12.234675
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
The flow dynamics of the ventricular system in the brain are poorly understood. Invasive monitoring using radioisotope tracers or contrast media allows sampling of only one spatial location over time. Using non-invasive magnetic resonance imaging (MRI) makes it difficult to obtain a coherent 3D dataset having adequate spatial and temporal resolution. In order to increase our understanding of cerebrospinal fluid flow, and brain motion in vivo, a 3D geometric model was constructed by segmentation of coronal cross sections of the ventricular space. The initial model was constructed with some modifications in the geometry in order to simplify the flow field. The third ventricle became an unlimited reservoir of constant pressure. The simulation deals with pulsatile flow across a free surface boundary. The ependyma ventricular lining can be considered as an elastic membrane that deforms the ventricular space at a rate linked to the cardiac cycle. Consequently, one is dealing with a transient dynamic analysis whose displacements and velocities can be approximated by morphological changes during time-gated MRI sequences taken in axial, coronal, and sagittal planes.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Cahoon, Douglas Cochrane, and Ellen Grant "Simulation and visualization of 3D flow fields in the human cerebral ventricular system", Proc. SPIE 2656, Visual Data Exploration and Analysis III, (8 March 1996); https://doi.org/10.1117/12.234675
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KEYWORDS
Magnetic resonance imaging

3D modeling

Brain

Visualization

Databases

Image segmentation

Motion models

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