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Aberration correction for time-domain ultrasound diffraction tomography.
1Applied Research Laboratory, The Pennsylvania State University, University Park 16802, USA. dmast@eesus.jnj.com
The Journal of the Acoustical Society of America
|July 27, 2002
Summary
This study presents time-domain diffraction tomography for acoustic imaging. Aberration correction methods improve image quality and double the applicable range for ultrasonic mammography and inverse scattering problems.
Area of Science:
- Acoustic imaging
- Wave propagation
- Medical physics
Background:
- Time-domain diffraction tomography reconstructs sound speed variations from acoustic scattering data.
- Current methods have limitations in finite signal bandwidth and aberration effects.
- Applications include ultrasonic mammography and inverse scattering problems.
Purpose of the Study:
- To extend and analyze time-domain diffraction tomography methods.
- To develop and evaluate aberration correction techniques for improved imaging.
- To address the lack of a general solution for the linearized time-domain inverse scattering problem.
Main Methods:
- Developed an approximate solution to the linearized inverse scattering problem using a delay-and-sum method.
- Proposed two aberration correction methods: one using straight-ray approximation for delay computation, and another applying delays directly to linearized reconstruction.
- Utilized far-field time-domain acoustic scattering measurements.
Main Results:
- Demonstrated that the linearized time-domain inverse scattering problem has no general solution for finite signal bandwidth.
- Showcased that aberration correction methods significantly improve image quality for large scatterers.
- Extended the parametric range of time-domain diffraction tomography by approximately a factor of 2.
Conclusions:
- Aberration correction is crucial for enhancing the performance of time-domain diffraction tomography.
- The developed methods offer a general approach to aberration correction in acoustic imaging.
- The findings advance the capabilities of quantitative imaging in applications like ultrasonic mammography.

