A multi-anatomical <i>in vivo</i> and <i>in vitro</i> ultrafast ultrasound dataset: 20,431 acquisitions with 105 plane waves using the GE 11L-D probe and a vantage system.

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Abstract

This article presents a comprehensive, multi-anatomical raw radio frequency (RF) ultrafast ultrasound dataset designed to facilitate advancements in beamforming, image reconstruction, and deep learning-based medical imaging. The data were acquired using a GE 11L-D linear array probe (192 elements, 7.3 MHz center frequency) interfaced with a Verasonics Vantage 256 system. The dataset comprises 20,431 total acquisitions, providing a diverse set of RF signals across varying tissue types. This includes 20,121 <i>in vivo</i> acquisitions collected from 16 healthy volunteers across six distinct anatomical regions-abdomen, carotids, breasts, back, upper limbs, and lower limbs-as well as 310 <i>in vitro</i> acquisitions from a CIRS 054GS phantom. Each acquisition consists of 105 plane waves (PWs) with a steering angle spacing of 0.32°, which enables coherent plane wave compounding (CPWC) for high-quality image reconstruction. All data collection was conducted under strict ethical safety guidelines approved by the Cantonal Commission on Ethics in Human Research (CER-VD, Switzerland). By providing a large-scale, heterogeneous dataset of raw signals, this dataset addresses the critical scarcity of open-access raw ultrasound data. It serves as a robust benchmark for evaluating traditional beamforming algorithms, validating novel image reconstruction techniques, and training data-intensive deep learning models. This resource is intended to foster reproducibility and accelerate research in medical ultrasound imaging.

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