Abstract
We combine well established particle tracking with wall surface measurements using tomographic scanning and present results for the non-stationary 4D - flow field within an abdominal aortic aneurysm (AAA) phantom. It was manufactured from an optically homogeneous but slightly opaque silicone having an index of refraction n = 1.414. The fluid used is a mixture of water and glycerol to match the index of refraction of the silicone to render the region of interest undistorted. The 3D data is acquired by means of rapidly scanning a laser sheet through the region of interest while simultaneously recording an image sequence of tracer particles using a single high speed camera. We mimic a symmetric quadruple camera setup by splitting the image 4-way using a custom made primary splitter in combination with four secondary adjustable mirrors. In addition to the seeded particles, which we identify and track in time, the aneurism wall lights up across the cut with the laser plane. In addition to the particle tracking, we will now also extract the surface of the moving interior wall through proper epipolar constraints, e.g. their intersection with a filtered edge detection map. Previous measurements and attempts of different groups (MRI, DNS) to unify the stationary flow field data have shown the necessity to obtain the compliant wall motion simultaneously with the flow field boundary conditions. This paper addresses this issue to meet all necessary requirements that will allow further development of a numerical simulation tool.
Original language | English (US) |
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Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
Volume | 36 |
State | Published - 2006 |
Externally published | Yes |
Event | 2006 ISPRS Commission V Symposium on Image Engineering and Vision Metrology - Dresden, Germany Duration: Sep 25 2006 → Sep 27 2006 |
Bibliographical note
Publisher Copyright:© 2018 International Society for Photogrammetry and Remote Sensing. All rights reserved.
Keywords
- Flow phantom
- Index matching
- Scanning particle tracking velocimetry