Post-Processing Enhancement of Reverberation-Noise Suppression in Dual-Frequency SURF Imaging
Sven Peter Nasholm, Rune Hansen, and Bj{\o}rn A. J. Angelsen

TL;DR
This paper presents post-processing techniques to improve reverberation-noise suppression in dual-frequency SURF ultrasound imaging, demonstrating potential for enhanced noise reduction and reduced near-field energy through numerical simulations.
Contribution
The study introduces two novel post-processing adjustment methods that enhance SURF imaging's noise suppression capabilities without altering the transmit pulse design.
Findings
Post-processing reduces energy at targeted depths, especially shallow ones.
Methods can decrease near-field energy, improving overall noise suppression.
Potential for better suppression of multiple scattering and reflections.
Abstract
A post-processing adjustment technique which aims for enhancement of dual-frequency SURF (Second order UltRasound Field) reverberation-noise suppression imaging in medical ultrasound is analyzed. Two variant methods are investigated through numerical simulations. They both solely involve post-processing of the propagated high-frequency (HF) imaging wave fields, which in real-time imaging corresponds to post-processing of the beamformed receive radio-frequency signals. Hence the transmit pulse complexes are the same as for the previously published SURF reverberation-suppression imaging method. The adjustment technique is tested on simulated data from propagation of SURF pulse complexes consisting of a 3.5 MHz HF imaging pulse added to a 0.5 low-frequency sound-speed manipulation pulse. Imaging transmit beams are constructed with and without adjustment. The post-processing involves…
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