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Co-authored-by: tristan-deep <tristan-deep@users.noreply.huggingface.co>
Co-authored-by: swpenninga <swpenninga@users.noreply.huggingface.co>

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3
+ ---
4
+
5
+ # OpenH-RF
6
+
7
+ ## Dataset Description
8
+
9
+ OpenH-RF is a community-driven dataset initiative building the open, shared foundation needed to train and evaluate AI models built on pre-beamformed (channel capture) medical ultrasound measurements.
10
+
11
+ This dataset is a collection of RF samples and metadata in the [`zea` file format](https://github.com/tue-bmd/zea) from a variety of tasks and applications, including ultrasound localization microscopy, ultrasound computer tomography, b-mode, flow imaging and more.
12
+
13
+ This dataset is ready for commercial or non-commercial uses.
14
+
15
+ ## Dataset Owner
16
+
17
+ NVIDIA Corporation
18
+
19
+ ## Contributing Organizations
20
+
21
+ NVIDIA, Stanford University, Eindhoven University of Technology, Tel Aviv University, Siemens Healthineers, Resolve Stroke, University of British Columbia, KAIST, Barreleye Inc., Seoul National University Bundang Hospital, us4us Ltd., University of Colorado Boulder, Vanderbilt University, University of North Carolina at Chapel Hill, Weizmann Institute of Science, University of Oslo, Technical University of Munich, Politecnico di Torino, University of Twente, Weill Cornell Medicine, Worcester Polytechnic Institute, University of Strasbourg, Concordia University, Mosaic Intelligence, PATH Lab - Technion - Israel Institute of Technology, University of Waterloo, Dartmouth College, Provost Ultrasound Lab
22
+
23
+ ## Dataset Stewardship
24
+
25
+ OpenH-RF community & Steering Group
26
+
27
+ ## Dataset Creation Date
28
+
29
+ September 2026
30
+
31
+ ## Versioning
32
+
33
+ v1.0.0
34
+
35
+ **Previous Version(s):** no previous version
36
+
37
+ ## License/Terms of Use
38
+
39
+ CC-BY-4.0
40
+
41
+ ## Intended Usage
42
+
43
+ Researchers and builders interested in training ultrasound reconstruction models, RF world foundation models, or RF language models.
44
+
45
+ ## Dataset Characterization
46
+
47
+ ### Data Collection Method
48
+
49
+ Hybrid: Manually-Collected, Automatic/Sensors, Synthetic
50
+
51
+ ### Labeling Method
52
+
53
+ Hybrid: Manually-Labeled, Automatic/Sensors, Synthetic
54
+
55
+ ## Dataset Format
56
+
57
+ `zea` HDF5 format >= 0.1.4. This release contains files with `zea_version` 0.1.4, 0.1.5, and 0.1.6.
58
+
59
+ Channel capture data and related meta data are saved in HDF5 data files using a specification defined for the `zea` library.
60
+
61
+ ## Dataset Quantification
62
+
63
+ 32 sub-datasets contain 11,491 HDF5 files totaling 38.4 TB (38,366,766,058,064 bytes; 34.9 TiB) of stored HDF5 data. These sizes count the stored files, including metadata and other embedded arrays; they are not decoded RF array sizes or original-source download sizes. TB uses decimal units (10^12 bytes), and TiB uses binary units (2^40 bytes).
64
+
65
+ ## Reference(s)
66
+
67
+ https://github.com/open-h/OpenH-RF
68
+
69
+ ## Ethical Considerations
70
+
71
+ NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
72
+
73
+ Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
colorado-boulder/README.md ADDED
@@ -0,0 +1,174 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: "OpenH-RF — Tracked Swept Synthetic Aperture 3D Phantom Dataset"
3
+ license: cc-by-4.0
4
+ task_categories:
5
+ - generalized-reconstruction
6
+ tags:
7
+ - ultrasound
8
+ - rf
9
+ - openh-rf
10
+ - 3d
11
+ language:
12
+ - en
13
+ size_categories:
14
+ - n<1K
15
+ ---
16
+
17
+ # Tracked Swept Synthetic Aperture 3D Phantom Ultrasound Dataset
18
+
19
+ ## Dataset Description
20
+
21
+ This dataset contains tracked swept synthetic aperture (SSA) ultrasound acquisitions of a 3D ultrasound imaging phantom. The data were acquired using a Verasonics Vantage research ultrasound system with a P4-2 phased array transducer.
22
+
23
+ The dataset includes raw RF channel data, acquisition parameters, probe geometry, transmit information, and frame-wise tracked probe pose metadata. Its purpose is to provide a reproducible example of motion-compensated SSA reconstruction from raw channel data using the zea/OpenH-RF data format.
24
+
25
+ This dataset contains phantom data only. It does not contain human subject data, animal data, or protected health information (PHI).
26
+
27
+ ## Dataset Contributor(s)
28
+
29
+ **Contributing organization:** University of Colorado Boulder, Bottenus Lab
30
+
31
+ **Contributors:**
32
+
33
+ - Anet Sanchez
34
+ - Nick Bottenus
35
+
36
+ ## Dataset Creation Date
37
+
38
+ 06/24/2025
39
+
40
+ ## License / Terms of Use
41
+
42
+ This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
43
+
44
+ The contributed data consist exclusively of phantom ultrasound acquisitions and are cleared for release under CC BY 4.0. Patient consent, clinical data-use agreements, and PHI de-identification are not applicable because the dataset does not contain human subject data.
45
+
46
+ ## Intended Usage
47
+
48
+ This dataset is intended for research on generalized ultrasound reconstruction, with a particular focus on tracked swept synthetic aperture imaging, motion-compensated beamforming, coherent compounding, and ultrasound image-quality evaluation.
49
+
50
+ For SSA reconstruction, each raw RF frame is beamformed using its corresponding tracked transducer pose. The resulting beamformed IQ frames are placed on a common reconstruction grid and coherently summed to synthesize a larger effective aperture. Because the reconstruction relies on coherent compounding, summation is performed before envelope detection, normalization, and log compression.
51
+
52
+ ## Dataset Characterization
53
+
54
+ - **Data Collection Method:** Phantom ultrasound acquisition
55
+ - **Labeling Method:** N/A; no manual labels or segmentation masks are provided
56
+ - **Acquisition System:** Verasonics Vantage research ultrasound scanner with a Verasonics P4-2 phased array transducer
57
+
58
+ ### Acquisition Details
59
+
60
+ The transducer was manually swept over the phantom field of view while diverging-wave transmissions were acquired at 400 Hz. All 64 array elements were used on receive.
61
+
62
+ Diverging waves were generated using a negative virtual source with the 20 central array elements active on transmit.
63
+
64
+ The transducer was optically tracked using an NDI Polaris Vega® XT optical tracking system manufactured by Northern Digital Inc., Ontario, Canada.
65
+
66
+ ### Probe and Geometry
67
+
68
+ The acquisition used a Verasonics P4-2 phased array transducer with 64 elements. The center frequency stored in the acquisition and used for reconstruction is 2.5 MHz.
69
+
70
+ The probe geometry, transmit origins, transmit delays, transmit apodization, and other acquisition parameters are stored in the zea/OpenH-RF file. Frame-wise probe translations and rotations are stored using the native `metadata/probe_pose` structure.
71
+
72
+ ## Dataset Format
73
+
74
+ The dataset is distributed in the zea/OpenH-RF HDF5 format.
75
+
76
+ Each file includes:
77
+
78
+ - Raw RF channel data
79
+ - Sampling and center frequencies
80
+ - Transmit delays and apodization
81
+ - Transmit origins
82
+ - Probe geometry
83
+ - Sound-speed information
84
+ - Frame-wise tracked probe translations
85
+ - Frame-wise tracked probe rotations
86
+
87
+ The stored RF channel data have not been beamformed, envelope detected, normalized, or log compressed. The accompanying reconstruction pipeline performs these processing steps.
88
+
89
+ ## Dataset Quantification
90
+
91
+ **Current OpenH-RF release:** 62 HDF5 files; 16.04 GB (16,037,117,952 bytes) stored; root `zea_version` **0.1.6**. Sizes include all HDF5 contents and use decimal units (MB = 10^6 bytes, GB = 10^9 bytes, TB = 10^12 bytes), not decoded-array memory or original-source download sizes.
92
+
93
+ - **Number of phantom objects:** 1
94
+ - **Number of acquisitions:** 10
95
+ - **Number of RF frames per acquisition:** 1200
96
+ - **Number of transmit events per frame:** 1
97
+ - **Number of receive elements:** 64
98
+ - **Number of active transmit elements:** 20
99
+
100
+ ### Per-File Feature Summary
101
+
102
+ | Feature | Shape | Data type | Units | Description |
103
+ |---|---:|---|---|---|
104
+ | Raw RF data | `n_frames × n_tx × n_ax × n_elements × n_channels` | `float32` | acquisition units | Raw RF channel measurements |
105
+ | Probe translation | `n_frames × 3` | `float32` | m | Frame-wise tracked probe position |
106
+ | Probe rotation | `n_frames × 4` | `float32` | unit quaternion | Frame-wise tracked probe orientation in `xyzw` order |
107
+ | Probe geometry | `64 × 3` | `float32` | m | Array-element coordinates |
108
+ | Transmit origins | `n_tx × 3` | `float32` | m | Diverging-wave virtual-source coordinates |
109
+ | Transmit delays | `n_tx × 64` | `float32` | s | Per-element transmit delays |
110
+ | Transmit apodization | `n_tx × 64` | `float32` | unitless | Per-element transmit activation and weighting |
111
+
112
+ ## Subject Metadata
113
+
114
+ ### Metadata Schema Migration
115
+
116
+ The zea 0.1.6 migration uses these approved metadata locations:
117
+
118
+ | Legacy location | Canonical location |
119
+ |---|---|
120
+ | Dataset `metadata/subject_id` | Dataset `metadata/subject/id` |
121
+ | Dataset `metadata/subject_type` | Dataset `metadata/subject/type` |
122
+ | Dataset `metadata/us_machine` | Root HDF5 attribute `us_machine` |
123
+
124
+ Read the machine name with `f.attrs["us_machine"]`, not `f["us_machine"]`.
125
+ Subject values and their existing attributes are preserved. The machine
126
+ string is preserved; migration stops for review if its legacy dataset has
127
+ attributes that cannot be represented without loss. No numerical arrays are
128
+ rescaled or otherwise changed by these relocations.
129
+
130
+ The three-field pilot passed full array and metadata parity checks with the
131
+ approved description changes and `transmit_only=False` default. Full-release
132
+ migration is still pending. Replacement files are uploaded only after
133
+ per-file validation; readers supporting both revisions should check the
134
+ canonical locations first, then the legacy locations.
135
+
136
+
137
+ This dataset contains one 3D ultrasound imaging phantom.
138
+
139
+ - **Subject type:** 3D phantom
140
+ - **Anatomical region:** Not applicable
141
+ - **Human participants:** None
142
+ - **Animal subjects:** None
143
+ - **Protected health information:** None
144
+ - **Scanner:** Verasonics Vantage
145
+ - **Probe:** Verasonics P4-2 phased array
146
+
147
+ ## Data Validation
148
+
149
+ The submission includes a `zea.Pipeline` that reconstructs a representative tracked SSA B-mode image from the raw RF channel data.
150
+
151
+ The pipeline performs:
152
+
153
+ 1. Frame-wise demodulation
154
+ 2. Application of the tracked probe pose
155
+ 3. Delay-and-sum beamforming onto a common reconstruction grid
156
+ 4. Coherent summation of the beamformed IQ frames
157
+ 5. Envelope detection
158
+ 6. Normalization
159
+ 7. Log compression
160
+
161
+ The reconstruction is defined in `pipeline.yaml` and executed using `reconstruct.py`. A representative reconstructed B-mode image is included with the dataset.
162
+
163
+ ## Known Issues
164
+
165
+ - Optical tracking measurements may contain small position and orientation uncertainties.
166
+ - Reconstruction quality depends on tracking calibration accuracy and coherent alignment between frames.
167
+
168
+
169
+ ## Ethical Considerations
170
+
171
+ This dataset contains phantom ultrasound data only. It does not contain human participants, animal subjects, personal identifiers, clinical records, or protected health information.
172
+
173
+ Human-subject consent and institutional review board approval are therefore not applicable.
174
+
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