ITERATIVE MODEL-BASED IMAGE RECONSTRUCTION FOR ULTRASOUND PROCESS TOMOGRAPHY |
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| Gerald Steiner, Frank Podd, Markus Brandner, Daniel Watzenig |
- Abstract:
- Ultrasound process tomography is a method for imaging the acoustic impedance or sound velocity distribution within a closed pipe or vessel. It can be used for the determination of process parameters, like flow rates and material fractions, in industrial multi-phase flows. Many approaches are based on reflection measurements and the assumption of piece-wise constant acoustic impedance distributions. For this configuration we present a novel iterative approach for image reconstruction. Reflecting objects, like gas bubbles, are modeled by B-spline contours. The inverse problem of determining the object position and shape from the reflection measurements at the boundary of the vessel is solved using a quasi-Newton optimization algorithm. The forward problem, i.e. the simulation of the measurement given the object parameters, is solved using an efficient formulation based on Fermat’s principle. The model-based approach offers the advantage of always yielding closed contours. Both reflection and transmission measurement data can be used in a unified manner. The feasibility of the approach is demonstrated using simulated data.
- Keywords:
- flow imaging, image reconstruction, process tomography, ultrasound tomography
- Download:
- PWC-2006-TC9-010u.pdf
- DOI:
- -
- Event details
- Event name:
- XVIII IMEKO World Congress
- Title:
Metrology for a Sustainable Development
- Place:
- Rio de Janeiro, BRAZIL
- Time:
- 17 September 2006 - 22 September 2006