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Use of the distorted wave born approximation to predict scattering by inhomogeneous objects: application to squid
Benjamin A Jones1, Andone C Lavery, Timothy K Stanton
1Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts 02543-1053, USA. bnyjones@gmail.com
The Journal of the Acoustical Society of America
|January 29, 2009
Summary
A novel numerical method improves acoustic scattering predictions for complex objects by accounting for internal variations. This approach enhances accuracy for biological targets like squid compared to previous models.
Area of Science:
- Acoustics
- Computational Physics
- Bioacoustics
Background:
- Predicting acoustic scattering from objects with variable internal properties and complex geometries is challenging.
- Existing methods like the distorted wave Born approximation (DWBA) often simplify scatterer properties, limiting accuracy.
Purpose of the Study:
- To develop and validate a new numerical method for predicting acoustic scattering from weakly scattering objects with 3D variability.
- To rigorously account for phase changes within the scattering volume using a numerical DWBA approach.
- To apply and assess the method's performance on complex biological targets, specifically squid.
Main Methods:
- Applied a numerical distorted wave Born approximation (DWBA) that rigorously accounts for phase variations within the scattering volume.
- Validated the method by comparing predictions with modal-series-based results for fluid shells.
- Incorporated high-resolution spiral computerized tomography (SCT) scans of squid morphology for realistic modeling.
Main Results:
- The new DWBA method demonstrated improved accuracy in predicting acoustic scattering.
- Predictions for squid, using SCT data, showed significant enhancement over the DWBA-homogeneous-prolate-spheroid model.
- The method provided better single-orientation and orientation-averaged scattering predictions.
Conclusions:
- The developed numerical DWBA method effectively predicts acoustic scattering from objects with complex internal variability.
- This approach offers a significant improvement over traditional models for realistic biological targets.
- The study validates the utility of high-resolution imaging in conjunction with advanced acoustic modeling.
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