Tatiana Gelvez-Barrera
| When |
Oct 10, 2023
from 01:00 to 02:00 |
|---|---|
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Tatiana Gelvez-Barrera |
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Speaker: Tatiana Gelvez-Barrera (postdoc at CREATIS)
https://scholar.google.com.co/citations?user=sT2UvQcAAAAJ&hl=en
Title: Model-based Beamforming Method for Acoustic Imaging in Medical and Industrial Applications.
Abstract: Acoustic imaging acquires data using distributed sensor arrays for the spatial characterization of sound waves propagating in a medium, supporting various applications in medical and industrial fields. Beamforming is one of the primary image formation techniques in acoustic imaging, found in medical and industrial applications. Despite the similarities among the methods developed in both applications, researchers typically devise beamforming techniques separately. This work addresses the challenge of proposing a model-based beamforming methodology at the intersection of these fields. First, this work presents the construction of a linear forward operator that considers the geometrical priors of the acquisition process. Then, a formulated inverse problem uses the built observation model and considers the sparsity property in the spatial and temporal dimensions. Finally, an alternating algorithm is employed to obtain the beamformed image, yielding promising medical and industrial application results.