colorado-boulder: sync data card and tracked-SSA figures with GitHub
#30
by tristan-deep - opened
colorado-boulder/README.md
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pretty_name: "OpenH-RF — Tracked Swept Synthetic Aperture
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license: cc-by-4.0
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task_categories:
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- generalized-reconstruction
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- n<1K
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---
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# Tracked Swept Synthetic Aperture
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## Dataset Description
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This dataset contains tracked swept synthetic aperture (SSA) ultrasound acquisitions
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The dataset includes raw RF channel data, acquisition parameters, probe geometry, transmit information, and frame-wise tracked probe pose metadata.
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## Dataset Contributor(s)
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## Dataset Creation Date
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06/
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## License / Terms of Use
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This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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The
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## Intended Usage
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This dataset is intended for research on generalized ultrasound reconstruction, with a
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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.
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## Dataset Characterization
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- **Labeling Method:** N/A; no manual labels or segmentation masks are provided
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- **Acquisition System:** Verasonics Vantage research ultrasound scanner with a Verasonics P4-2 phased array transducer
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The
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The transducer was optically tracked using an NDI Polaris Vega® XT optical tracking system manufactured by Northern Digital Inc., Ontario, Canada.
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###
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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.
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## Dataset Format
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- Frame-wise tracked probe translations
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- Frame-wise tracked probe rotations
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The stored RF channel data have not been beamformed, envelope detected, normalized, or log compressed.
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## Dataset Quantification
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**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.
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### Per-
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| Feature | Shape | Data type | Units | Description |
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|---|---:|---|---|---|
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per-file validation; readers supporting both revisions should check the
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canonical locations first, then the legacy locations.
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## Data Validation
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The submission includes a `zea.Pipeline` that reconstructs
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The pipeline performs:
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1. Frame-wise demodulation
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2. Application of the tracked probe pose
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3. Delay-and-sum beamforming onto a common reconstruction grid
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4. Coherent
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5. Envelope detection
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6. Normalization
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7. Log compression
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The reconstruction is defined in `pipeline.yaml` and executed using `reconstruct.py`
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## Known Issues
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- Optical tracking measurements may contain small position and orientation uncertainties.
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- Reconstruction quality depends on tracking calibration accuracy and coherent alignment between frames.
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## Ethical Considerations
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---
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pretty_name: "OpenH-RF — Tracked Swept Synthetic Aperture Ultrasound Datasets"
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license: cc-by-4.0
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task_categories:
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- generalized-reconstruction
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- n<1K
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# Tracked Swept Synthetic Aperture Ultrasound Datasets
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*Freehand, optically tracked swept synthetic aperture (SSA) raw-channel ultrasound from phantoms and in-vivo quadriceps, for the OpenH-RF initiative.*
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| 2D ATS 539 phantom | 3D phantom | In-vivo quadriceps |
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| `Sub-dataset-1` | `Sub-dataset-2` | `Sub-dataset-3` |
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Motion-compensated tracked SSA reconstructions, one per sub-dataset. Each frame
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beamforms the raw RF channel data with its own tracked probe pose; a 40 mm window of
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frames is then coherently summed to synthesise a larger effective aperture, and the
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window slides along the freehand sweep. Produced by `reconstruct.py`.
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## Dataset Description
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This dataset contains tracked swept synthetic aperture (SSA) ultrasound acquisitions from three targets: a 2D ATS 539 multipurpose imaging phantom, a 3D ultrasound imaging phantom, and in-vivo quadriceps muscle from healthy volunteer participants.
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The data were acquired using a Verasonics Vantage research ultrasound system with a P4-2 phased array transducer. The dataset includes raw RF channel data, acquisition parameters, probe geometry, transmit information, and frame-wise tracked probe pose metadata.
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The purpose of this dataset is to provide reproducible examples for generalized ultrasound reconstruction, with a particular focus on motion-compensated tracked SSA reconstruction using the zea/OpenH-RF data format.
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The phantom acquisitions do not contain human subject data, animal data, or protected health information (PHI). The in-vivo acquisitions were collected from healthy volunteer participants and de-identified prior to release.
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## Dataset Contributor(s)
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## Dataset Creation Date
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Data were collected between 08/23/2024 and 06/30/2026.
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## License / Terms of Use
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This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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The phantom data consist exclusively of phantom ultrasound acquisitions and are cleared for release under CC BY 4.0. The in-vivo data were collected under institutional approval and have been de-identified prior to release. No protected health information (PHI) is included in the released files.
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## Intended Usage
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This dataset is intended for research on generalized ultrasound reconstruction, with a specific focus on tracked swept synthetic aperture imaging, motion-compensated beamforming, coherent compounding, and ultrasound image-quality evaluation.
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For SSA reconstruction, each raw RF frame is beamformed using its corresponding tracked transducer pose. The resulting beamformed 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.
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## Dataset Characterization
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The dataset includes acquisitions from three targets:
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- 2D ATS 539 multipurpose imaging phantom
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- 3D ultrasound imaging phantom
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- In-vivo quadriceps muscle from healthy volunteer participants
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The ATS 539 multipurpose imaging phantom contains:
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- Wire targets
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- Cylindrical lesions
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- Tissue-mimicking speckle regions
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These targets may be used to assess spatial resolution, contrast, lesion visibility, and speckle characteristics.
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### Data Collection Method
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Each acquisition consisted of a freehand sweep in the lateral direciton of the transducer.
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All 64 array elements were used during receive. Diverging waves were generated using a negative virtual source while activating the 20 central array elements during transmit.
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For in-vivo targets the transducer was manually swept along the longitudinal direction of the quadriceps while transmitting diverging waves at 400 Hz.
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The transducer was optically tracked using an NDI Polaris Vega® XT optical tracking system manufactured by Northern Digital Inc., Ontario, Canada.
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### Labeling Method
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None (N/A).
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### Acquisition System
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- Verasonics Vantage research ultrasound scanner
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- Verasonics P4-2 phased array transducer
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- 64 elements
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- Reconstruction center frequency: 2.5 MHz
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- Sampling frequency: 10 MHz
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- Optical tracking: NDI Polaris Vega XT
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---
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## Dataset Format
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- Frame-wise tracked probe translations
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- Frame-wise tracked probe rotations
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The stored RF channel data have not been beamformed, demodulated, envelope detected, normalized, or log compressed. These processing steps are performed by the accompanying reconstruction pipeline.
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## Dataset Quantification
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**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.
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- Number of phantom objects: 2
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- Number of volunteer participants: 7
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- Number of acquisitions: 62
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- Number of RF frames per acquisition: 1200–1600
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- Number of transmit events per frame: 1
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- Number of receive elements: 64
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- Number of active transmit elements: 20
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### Per-acquisition contents
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| Feature | Shape | Data type | Units | Description |
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per-file validation; readers supporting both revisions should check the
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canonical locations first, then the legacy locations.
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This dataset contains acquisitions from two ultrasound imaging phantoms and healthy volunteer participants.
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- Subject types: 2D imaging phantom, 3D phantom, and in-vivo human ultrasound data
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- 2D phantom model: ATS 539
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- 2D phantom target types: wires, cylindrical lesions, and tissue-mimicking speckle
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- In-vivo anatomical region: quadriceps muscle
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- Human participants: healthy volunteer participants for the in-vivo dataset
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- Animal subjects: None
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- Protected health information: None
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- Scanner: Verasonics Vantage
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- Probe: Verasonics P4-2 phased array
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## Data Validation
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The submission includes a `zea.Pipeline` that reconstructs representative tracked SSA B-mode images from the raw RF channel data.
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The pipeline performs:
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1. Frame-wise demodulation
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2. Application of the tracked probe pose
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3. Delay-and-sum beamforming onto a common reconstruction grid
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4. Coherent SSA compounding
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5. Envelope detection
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6. Normalization
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7. Log compression
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The reconstruction is defined in `pipeline.yaml` and executed using `reconstruct.py`:
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```bash
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python reconstruct.py
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```
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The script streams an acquisition straight from the Hub, selects tracked frames at
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roughly 1 mm lateral spacing, and writes the reconstruction to `ssa_bmode.png`. Point
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`DATA_FILE` at any acquisition in the corpus to reconstruct it.
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[`assets/main_bmode.png`](./assets/main_bmode.png) was produced this way, compounding
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the full sweep into one image; the loops at the top of this card slide a shorter
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aperture window along the sweep instead.
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`reconstruct.py` defines the custom `apply_probe_pose` operation that `pipeline.yaml`
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refers to, which applies the frame-wise `metadata/probe_pose` to the probe geometry
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and transmit origins before beamforming.
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## Known Issues
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- Optical tracking measurements may contain small position and orientation uncertainties.
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- Reconstruction quality depends on tracking calibration accuracy and coherent alignment between frames.
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- The in-vivo dataset is intended for research use and has not been optimized for clinical workflows.
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## Ethical Considerations
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The phantom acquisitions contain phantom ultrasound data only. They do not contain human participants, animal subjects, personal identifiers, clinical records, or protected health information.
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Human-subject consent and institutional review board approval are not applicable to the phantom acquisitions.
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The in-vivo data were acquired from volunteer participants with informed consent under IRB-approved protocol #24-0176.
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All released in-vivo data have been de-identified. No protected health information or participant-identifying metadata are included.
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colorado-boulder/assets/main_bmode.png
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Git LFS Details
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colorado-boulder/assets/ssa-sweep-invivo.gif
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Git LFS Details
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colorado-boulder/assets/ssa-sweep-phantom2d.gif
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Git LFS Details
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colorado-boulder/assets/ssa-sweep-phantom3d.gif
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Git LFS Details
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