Extending Retrospective Encoding for Robust Recovery of the Multistatic Data Set

Area of Science:

• Medical Imaging
• Ultrasound Technology
• Signal Processing

Background:

• Multistatic synthetic aperture (MSA) data recovery is crucial for advanced ultrasound imaging.
• Existing adjoint-based methods for MSA data recovery have limitations.
• Accurate MSA data enables applications like sound speed estimation and phase aberration correction.

Purpose of the Study:

• To introduce improved methods for accurate multistatic synthetic aperture data recovery.
• To enhance the performance of conventional ultrasound sequences for advanced imaging.
• To address limitations of previous adjoint-based techniques.

Main Methods:

• Modified adjoint-based method with ramp filtering to correct frequency scaling.
• Regularized inversion technique allowing additional aperture specification.
• Application to both steered transmit and walking aperture sequences.

Main Results:

• Ramp-filtered adjoint method improved correlation from 0.9404 to 0.9774 (steered transmit).
• Regularized inversion improved correlation to 0.9894 (steered transmit) and 0.9936 (walking aperture).
• Significant accuracy gains demonstrated for both techniques across different sequences.

Conclusions:

• The proposed ramp-filtered adjoint and regularized inversion techniques substantially improve MSA data recovery accuracy.
• These methods enable more robust and advanced ultrasound imaging applications.
• The regularized inversion technique shows particular promise for walking aperture sequences.