ITERATIVE MODEL-BASED IMAGE RECONSTRUCTION FOR ULTRASOUND PROCESS TOMOGRAPHY

• 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:

  _unreg_wc-2006.TC9-010

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