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OpenWaves Breast Dataset
Overview
The OpenWaves Breast Dataset is a comprehensive collection of 7,520 breast phantoms designed to represent realistic wave-speed characteristics of human breast tissue. These phantoms are immersed in a water medium to replicate real experimental conditions.
Dataset Structure
- VICTRE Breast Slices: 3，520 phantoms derived from 3D VICTRE models.
- Diffusion-Generated Phantoms: 4,000 phantoms generated using a stable diffusion model.
How to Access the Dataset
- Download Sample Data: Users can download a 500 kHz frequency-band sample dataset directly from Huggingface to validate data format and workflow compatibility.
- Download Speed Data: Download breast_train_speed.mat and breast_test_speed.mat from the OpenWaves Repository and Split them into individual files using split_data.m.
- Generate Full Dataset: Install the provided data generation software from OpenWavesInstaller.zip, to generate wavefield data for all frequencies (0.25 MHz to 0.60 MHz). The software supports customizable simulation parameters to replicate real experimental conditions. You can compare the first 8 entries in your generated test dataset with the provided sample dataset to verify the consistency.
OpenWaves.exe User Guide
- Setup Requirements
Input Data: the split speed data (the output of split_data.m.).
Software: MATLAB Runtime (if compiled) or MATLAB ≥2020b.
Hardware: Multi-core CPU (≥16 cores recommended).
- Execution Steps
Launch GUI:
Configure:
Data Type: Select organ (breast/limb/arm).
Output Directory: Save path for generated data.
Train/Test Speed Directories: Paths to split speed data.
CPU Cores: Optimize for your system (default: 40).
Simulation Frequency: Frequency （100kHz） (default: 5.0).
Data Generation:
Training Data: Simulates 256 transducer sources per phantom, saves as train_X.mat.
Testing Data: Generates test_X.mat with same parameters.
Log File: Progress/errors recorded in log.txt (output directory).
Citation
Please cite the associated paper if you use this data in your research:
@misc{zeng2025openwaves,
title={OpenWaves: A Large-Scale Anatomically Realistic Ultrasound-{CT} Dataset for Benchmarking Neural Wave Equation Solvers},
author={Zhijun Zeng and Youjia Zheng and Hao Hu and Zeyuan Dong and Yihang Zheng and Xinliang Liu and Jinzhuo Wang and Zuoqiang Shi and Linfeng Zhang and Yubing Li and He Sun},
year={2025},
url={https://openreview.net/forum?id=u14Y236LwX}
}
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