Efficient Aberration Correction via Optimal Bulk Speed of Sound Compensation
arxiv(2023)
摘要
Diagnostic ultrasound is a versatile and practical tool in the abdomen, and
is particularly vital toward the detection and mitigation of early-stage
non-alcoholic fatty liver disease (NAFLD). However, its performance in those
with obesity – who are at increased risk for NAFLD – is degraded due to
distortions of the ultrasound as it traverses thicker, acoustically
heterogeneous body walls (aberration). Many aberration correction methods for
ultrasound require measures of channel data relationships. Simpler, bulk speed
of sound optimizations based on the image itself have demonstrated empirical
efficacy, but their analytical limitations have not been evaluated. Herein, we
assess analytically the bounds of a single, optimal speed of sound correction
in receive beamforming to correct aberration, and improve the resulting images.
Additionally, we propose an objective metric on the post-sum B-mode image to
identify this speed of sound, and validate this technique through in virto
phantom experiments and in vivo abdominal ultrasound data collection with
physical aberrating layers. We find that a bulk correction may approximate the
aberration profile for layers of relevant thicknesses (1 to 3 cm) and speeds of
sound (1400 to 1500 m/s). Additionally, through in vitro experiments, we show
significant improvement in resolution (average point target width reduced by 60
correction determined automatically from the beamformed images. Together, our
results demonstrate the utility of simple, efficient bulk speed of sound
correction to improve the quality of diagnostic liver images.
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