Add colorado-boulder README + pipeline(s) from accepted_submissions
Browse files- colorado-boulder/README.md +149 -0
- colorado-boulder/pipeline.yaml +45 -0
colorado-boulder/README.md
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| 1 |
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---
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pretty_name: "OpenH-RF — Tracked Swept Synthetic Aperture 3D Phantom Dataset"
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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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tags:
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- ultrasound
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- rf
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- openh-rf
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- 3d
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language:
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- en
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size_categories:
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- n<1K
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---
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# Tracked Swept Synthetic Aperture 3D Phantom Ultrasound Dataset
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## Dataset Description
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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.
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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.
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This dataset contains phantom data only. It does not contain human subject data, animal data, or protected health information (PHI).
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## Dataset Contributor(s)
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**Contributing organization:** University of Colorado Boulder, Bottenus Lab
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**Contributors:**
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- Anet Sanchez
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- Nick Bottenus
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## Dataset Creation Date
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06/24/2025
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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 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.
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## Intended Usage
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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.
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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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- **Data Collection Method:** Phantom ultrasound acquisition
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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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### Acquisition Details
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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.
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Diverging waves were generated using a negative virtual source with the 20 central array elements active on transmit.
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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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### Probe and Geometry
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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.
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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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The dataset is distributed in the zea/OpenH-RF HDF5 format.
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Each file includes:
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- Raw RF channel data
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- Sampling and center frequencies
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- Transmit delays and apodization
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- Transmit origins
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- Probe geometry
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- Sound-speed information
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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. The accompanying reconstruction pipeline performs these processing steps.
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## Dataset Quantification
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- **Number of phantom objects:** 1
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- **Number of acquisitions:** 10
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- **Number of RF frames per acquisition:** 1200
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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-File Feature Summary
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| Feature | Shape | Data type | Units | Description |
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|---|---:|---|---|---|
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| Raw RF data | `n_frames × n_tx × n_ax × n_elements × n_channels` | `float32` | acquisition units | Raw RF channel measurements |
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| Probe translation | `n_frames × 3` | `float32` | m | Frame-wise tracked probe position |
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| Probe rotation | `n_frames × 4` | `float32` | unit quaternion | Frame-wise tracked probe orientation in `xyzw` order |
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| Probe geometry | `64 × 3` | `float32` | m | Array-element coordinates |
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| Transmit origins | `n_tx × 3` | `float32` | m | Diverging-wave virtual-source coordinates |
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| Transmit delays | `n_tx × 64` | `float32` | s | Per-element transmit delays |
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| Transmit apodization | `n_tx × 64` | `float32` | unitless | Per-element transmit activation and weighting |
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## Subject Metadata
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This dataset contains one 3D ultrasound imaging phantom.
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- **Subject type:** 3D phantom
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- **Anatomical region:** Not applicable
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- **Human participants:** None
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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 a representative tracked SSA B-mode image 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 summation of the beamformed IQ frames
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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`. A representative reconstructed B-mode image is included with the dataset.
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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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This dataset contains phantom ultrasound data only. It does 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 therefore not applicable.
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colorado-boulder/pipeline.yaml
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pipeline:
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operations:
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- name: map
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operations:
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- name: keras.ops.squeeze
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params:
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axis: 0
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jit_compile: false
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- name: keras.ops.cast
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params:
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dtype: float32
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jit_compile: false
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- name: demodulate
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params:
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jit_compile: false
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- name: apply_probe_pose
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params:
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jit_compile: false
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- name: beamform
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params:
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jit_options: null
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num_patches: 200
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with_batch_dim: false
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- name: keras.ops.expand_dims
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params:
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axis: 0
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jit_compile: false
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params:
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argnames:
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- data
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- probe_translation
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- probe_rotation
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batch_size: 1
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with_batch_dim: false
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- name: keras.ops.sum
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params:
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axis: 0
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- envelope_detect
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- name: normalize
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params:
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output_range:
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- 0.0
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- 1.0
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- log_compress
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with_batch_dim: false
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