Multi-Anatomical Ultrafast Ultrasound Dataset: Raw RF Signals acquired with a GE 11L-D probe

This repository serves as the official metadata and documentation landing page for the Multi-Anatomical Ultrafast Ultrasound RF Dataset: Raw RF Signals acquired with a GE 11L-D probe. Important Note: Due to the large volume of data (20,431 acquisitions), the actual raw RF files are hosted on the EPFL servers to ensure high-speed access and efficient data management. This Zenodo record contains the permanent DOI, dataset metadata, acquisition parameters, and documentation required for citation. 📄 Citation Please cite this Zenodo DOI when using the dataset. 📊 Dataset Overview This dataset comprises 20,431 acquisitions (20,121 in vivo from 16 volunteers and 310 in vitro from a CIRS phantom). It is designed for benchmarking beamforming algorithms, validating image reconstruction techniques, and training deep learning models. System: Verasonics Vantage 256 / GE 11L-D Probe Format: NumPy arrays (.npz) Total Size: 4.0 TB 📥 Data Access Documentation & Metadata Available for direct download and via Zenodo 📄 README: Download 📊 Acquisition Metadata (CSV): Download ⚙️ Acquisition Settings (ZIP): Download In Vitro Volunteer Datasets (ZIP): Download In Vivo Volunteer Datasets (ZIP): Volunteer Download Link Volunteer 003 Download Volunteer 005 Download Volunteer 006 Download Volunteer 007 Download Volunteer 008 Download Volunteer 009 Download Volunteer 010 Download Volunteer 011 (Abdomen) Download Volunteer 011 (Arm) Download Volunteer 011 (Back/Carotid) Download Volunteer 011 (Breast) Download Volunteer 011 (Leg) Download Volunteer 012 Download Volunteer 013 Download Volunteer 014 Download Volunteer 015 Download Volunteer 016 Download Volunteer 017 Download Volunteer 018 Download Volunteer 019 Download 🔗 Bulk Download via S3 To download the full dataset, we recommend using the S3-compatible endpoint to sync data via rclone. Bash # 1. Create the remote rclone config create datasets_epfl s3 provider Other endpoint https://datasets.epfl.ch region us-east-1 # 2. Sync the entire repository rclone sync datasets_epfl:epfl_ge11ld_ultrafast_ultrasound ./local_folder -P 🔬 Research Context & Reproducibility A subset of this dataset was utilized in the following peer-reviewed study: R. Viñals and J. -P. Thiran, "Deep Learning-Based Inpainting for Sparse Arrays in Ultrafast Ultrasound Imaging," in IEEE Transactions on Computational Imaging, vol. 12, pp. 187-202, 2026, doi: 10.1109/TCI.2025.3648531. Note for Reproducibility: Angle Selection: While the original acquisitions contain 105 plane waves, the cited paper utilized only the 103 plane waves with angles closest to 0°. Test Sets: Volunteers 005, 008, and 017 were used as the test set in the cited study. 📜 License This dataset is distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Contact For questions regarding the data or issues with access, please contact: Roser Viñals ([e-mail])