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May 11, 2026IEEE Transactions on Medical Imaging0 citations

Coherence Based Sound Speed Aberration Correction — with clinical validation in fetal ultrasound

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AVAnders Emil VrålstadPFPeter FosodederKDKarin Ulrike Deibele

Key Points

  • This work aims to present a reliable method for correcting sound speed aberrations in medical ultrasound, particularly for fetal imaging.
  • Developed a correction method that calculates focus delays from observed sound speed.
  • Validated the method using in vitro and in silico tests, as well as on 172 fetal B-mode images.
  • Evaluated corrected images against channel data recorded with a GE HealthCare ultrasound system.
  • Corrected images were preferred or rated equally to standard images for 72.5% of the 172 analyzed.
  • Achieved a sharpness improvement correlated with average sound speed change, with a Pearson Correlation Coefficient of 0.67.
  • Demonstrated clinically validated method with 12 detailed case examples.

Abstract

The purpose of this work is to demonstrate a robust and clinically validated method for correcting sound speed aberrations in medical ultrasound. We propose a correction method that calculates the focus delays directly from the observed two-way distributed average sound speed. The method beamforms multiple coherence images and selects the sound speed that maximizes the coherence for each image pixel. The main contribution of this work is the direct estimation of aberration, without the ill-conditioned inversion of a local sound speed map, and the proposed processing of coherence images, which adapts to in vivo situations where low coherent regions and off-axis scattering represent a challenge. The method is validated in vitro and in silico showing a high correlation with the ground truth speed of sound maps. Further, the method is clinically validated by being applied to channel data recorded from 172 fetal Bmode images, and 12 case examples are presented and discussed in detail. The data is recorded with a GE HealthCare Voluson Expert 22 system with an eM6c matrix array probe. The images are evaluated by three expert clinicians, and the results show that the corrected images are preferred or gave a quality equivalent to that without correction (1540 m/s) for 72.5% of the 172 images. In addition, a sharpness metric from digital photography is used to quantify image quality improvement. The increase in sharpness and the change in average sound speed are shown to be linearly correlated with a Pearson Correlation Coefficient of 0.67.

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Cite This Study

Vrålstad et al. (2026) studied this question.

synapsesocial.com/papers/6a0171ce3a9f334c28271d54https://doi.org/10.1109/tmi.2026.3691415
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