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---
name: "OpenH-RF — Mosaic Intelligence / NuevoSono IVUS"
license: cc-by-4.0
task_categories:
  - image-segmentation
tags:
  - ultrasound
  - rf
  - openh-rf
  - IVUS
  - tracked-ultrasound
---
# Data Card — Mosaic Intelligence / NuevoSono in-vivo IVUS

This data card consists of a collection of in-vivo intravascular ultrasound (IVUS) acquisitions from a porcine study. Each acquisition is saved in the *zea* file format.  The general dataset sections below (contributors, license, characterization, etc.) apply to all acquisitions, with individual subsections detailing each dataset's specific dimensions and which optional groups are present.

There are 9 acquisitions in total:

**Group 1: `15_*` acquisitions (untracked, counterclockwise rotation):**
- `15_10_18_21`
- `15_10_50_19`
- `15_16_45_06`
**Group 2: `22_*` acquisitions (tracked, linear encoder pullback, clockwise rotation):**
- `22_12_10_52`
- `22_12_29_46`
- `22_12_38_45`
- `22_13_10_16`
- `22_13_56_43`
- `22_14_29_54`

## Dataset Description

Each dataset is an IVUS acquisition collected in a porcine animal study. The source data consists of raw IVUS RF frames and a pre-computed (scan-converted) B-mode image. Six of the acquisitions have time-sampled linear encoder pullback positions of the IVUS probe at each frame. For each acquisition and for every frame, per-class segmentation masks are provided for the vessel lumen, intima-media, and guidewire.

## Dataset Contributors

Mosaic Intelligence Labs in collaboration with NuevoSono

Primary points of contact:
Brian Boitnott (1): brian@mosaicintelligence.xyz
Ali Mackanic (1): ali@mosaicintelligence.xyz

## Dataset Creation Date

07/17/2026

## License / Terms of Use

All contributed data, labels, and metadata is released by Mosaic Intelligence Labs
and NuevoSono under CC BY 4.0.
Pre-existing hardware, software, simulation, and platform intellectual property
remain the property of their respective owners. The team agrees to comply with
OpenH-RF governance, publication, and data-sharing policies. The license is also
recorded in each file's `metadata/credit` field.

## Intended Usage

Intended for IVUS tracking and segmentation applications, including lesion
detection and image-guided intervention.

## Dataset Characterization

- **Data Collection Method:** Porcine (in-vivo animal study)
- **Labeling Method:** derived tracking metadata, semi-automated labeling
- **Acquisition System:** Single-element IVUS, center frequency 30 MHz,
  sampling rate 1 GHz

## Dataset Format

All acquisitions are submitted in the *zea* file format. The RF data is stored as
a rotational sequence of A-lines (`n_tx` transmits per frame, one element/channel);
the accompanying B-mode `image` and `segmentation` masks are pre-computed,
scan-converted Cartesian frames sharing a per-pixel coordinate grid.

### Shared per-sample schema

Fields that are in every acquisition:

| Group / field | Shape | Dtype | Units | Description |
|---|---|---|---|---|
| `data/raw_data` | `[n_frames, n_tx, n_ax, 1, 1]` | float32 | source RF units | Raw IVUS RF frames (single element / channel) |
| `data/image/values` | `[n_frames, H, W]` | uint8 | — | Pre-computed (scan-converted) B-mode image |
| `data/image/coordinates` | `[H, W, 3]` | float32 | m | Per-pixel Cartesian positions `(x, y, z)`; cross-section lies in the x-y plane, `z = 0` |
| `data/segmentation/values` | `[n_frames, H, W, n_labels]` | bool | — | Per-class boolean segmentation masks (one channel per label) |
| `data/segmentation/coordinates` | `[H, W, 3]` | float32 | m | Same per-pixel grid as `image/coordinates` |
| `data/segmentation/labels` | `[n_labels]` | str | — | Channel names: `background`, `lumen`, `intima_media`, `guidewire` |
| `scan/*` | — | mixed | Hz / s / rad / m | Scan metadata (`sampling_frequency`, `center_frequency`, `demodulation_frequency`, `polar_angles`, `t0_delays`, `tx_apodizations`, `focus_distances`, `transmit_origins`, `initial_times`) |
| `probe/name` | scalar | str | — | Probe name (`NuevoSono IVUS`) |
| `probe/type` | scalar | str | — | Probe geometry type (`custom`) |
| `probe/probe_geometry` | `[1, 3]` | float32 | m | Element position (single element at the origin) |
| `probe/probe_center_frequency` | scalar | float32 | Hz | Nominal center frequency (30 MHz) |
| `metadata/subject/{id, type}` | scalar | str | — | Subject identifier (`porcine_<acq>`) and type (`animal`) |
| `metadata/credit` | scalar | str | — | Attribution: `Mosaic Intelligence - NuevoSono IVUS porcine dataset (CC BY 4.0)` |
| `metadata/text_report` | scalar | str | — | transducer rotation direction |
| `metadata/rotation/{samples, sampling_frequency, start_time_offset}` | `[1]` / scalar / scalar | float32 | — / Hz / s | Transducer rotation: `samples = +1` clockwise, `-1` counterclockwise |
| `metadata/pullback_position/{samples, sampling_frequency, start_time_offset}` | `[n_frames]` / scalar / scalar | float32 | m / Hz / s | Linear encoder pullback position per frame (**tracked acquisitions only**) |

## Per-dataset details

One data card per contributed sub-dataset. All fields follow the shared schema above. `n_ax = 8192`, `n_el = 1`, and `n_labels = 4` (`background`, `lumen`,
`intima_media`, `guidewire`) for every acquisition.

### `15_10_18_21` (untracked, counterclockwise)
- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = 985`, `W = 986`
- Frame rate: ~3.33 Hz
- Rotation: `metadata/rotation/samples = -1` (counterclockwise); `metadata/text_report = "Transducer rotation direction: counterclockwise."`
- Tracking: **none** — no `metadata/pullback_position` group (source has no `frameAttributes.txt`)
- **Stored HDF5 size:** 1.46 GB (1,456,209,920 bytes).
- Note: the image/mask grid is non-square (`985 x 986`)

![15_10_18_21 reconstruction overview](../outputs/15_10_18_21/overview_5_frames.png)

### `15_10_50_19` (untracked, counterclockwise)
- Dimensions: `n_frames = 60`, `n_tx = 360`, `H = 985`, `W = 986`
- Frame rate: ~3.33 Hz
- Rotation: `metadata/rotation/samples = -1` (counterclockwise)
- Tracking: **none** — no `metadata/pullback_position` group
- **Stored HDF5 size:** 592.12 MB (592,117,760 bytes).
- Note: the image/mask grid is non-square (`985 x 986`)

![15_10_50_19 reconstruction overview](../outputs/15_10_50_19/overview_5_frames.png)

### `15_16_45_06` (untracked, counterclockwise)
- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = 985`, `W = 986`
- Frame rate: ~3.33 Hz
- Rotation: `metadata/rotation/samples = -1` (counterclockwise)
- Tracking: **none** — no `metadata/pullback_position` group
- **Stored HDF5 size:** 1.46 GB (1,456,275,456 bytes).
- Note: the image/mask grid is non-square (`985 x 986`)

![15_16_45_06 reconstruction overview](../outputs/15_16_45_06/overview_5_frames.png)

### `22_12_10_52` (tracked, clockwise)
- Dimensions: `n_frames = 150`, `n_tx = 540`, `H = W = 2048`
- Frame rate: ~3.33 Hz
- Rotation: `metadata/rotation/samples = +1` (clockwise)
- Tracking: includes `metadata/pullback_position` `[150]` (linear encoder position per frame)
- **Stored HDF5 size:** 2.36 GB (2,356,936,704 bytes).

![22_12_10_52 reconstruction overview](../outputs/22_12_10_52/overview_5_frames.png)

### `22_12_29_46` (tracked, clockwise)
- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = W = 2048`
- Frame rate: ~8.33 Hz
- Rotation: `metadata/rotation/samples = +1` (clockwise)
- Tracking: includes `metadata/pullback_position` `[100]`
- **Stored HDF5 size:** 1.60 GB (1,602,945,024 bytes).

![22_12_29_46 reconstruction overview](../outputs/22_12_29_46/overview_5_frames.png)

### `22_12_38_45` (tracked, clockwise)
- Dimensions: `n_frames = 150`, `n_tx = 360`, `H = W = 2048`
- Frame rate: ~8.33 Hz
- Rotation: `metadata/rotation/samples = +1` (clockwise)
- Tracking: includes `metadata/pullback_position` `[150]`
- **Stored HDF5 size:** 1.58 GB (1,576,337,408 bytes).

![22_12_38_45 reconstruction overview](../outputs/22_12_38_45/overview_5_frames.png)

### `22_13_10_16` (tracked, clockwise)
- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = W = 2048`
- Frame rate: ~8.33 Hz
- Rotation: `metadata/rotation/samples = +1` (clockwise)
- Tracking: includes `metadata/pullback_position` `[100]`
- **Stored HDF5 size:** 1.54 GB (1,535,311,872 bytes).

![22_13_10_16 reconstruction overview](../outputs/22_13_10_16/overview_5_frames.png)

### `22_13_56_43` (tracked, clockwise)
- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = W = 2048`
- Frame rate: ~8.33 Hz
- Rotation: `metadata/rotation/samples = +1` (clockwise)
- Tracking: includes `metadata/pullback_position` `[100]`
- **Stored HDF5 size:** 1.53 GB (1,527,119,872 bytes).

![22_13_56_43 reconstruction overview](../outputs/22_13_56_43/overview_5_frames.png)

### `22_14_29_54` (tracked, clockwise)
- Dimensions: `n_frames = 150`, `n_tx = 360`, `H = W = 2048`
- Frame rate: ~3.33 Hz
- Rotation: `metadata/rotation/samples = +1` (clockwise); `metadata/text_report = "Transducer rotation direction: clockwise."`
- Tracking: includes `metadata/pullback_position` `[150]`
- **Stored HDF5 size:** 1.65 GB (1,653,080,064 bytes).

![22_14_29_54 reconstruction overview](../outputs/22_14_29_54/overview_5_frames.png)

## Dataset Quantification

**Current OpenH-RF release:** 9 HDF5 files; 13.76 GB (13,756,334,080 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.

- Acquisitions: 9 (3 untracked `15_*`, 6 tracked `22_*`)
- Frames per acquisition: 60–150 (1010 frames total across all acquisitions)
- Frame rate: ~3.33 Hz or ~8.33 Hz depending on acquisition (see per-dataset table)
- Train / validation / test split: N/A
- **Stored HDF5 size:** 13.76 GB (13,756,334,080 bytes).

| Acquisition | Frames | `n_tx` | `H x W` | Frame rate | Rotation | Tracking | Size |
|---|---|---|---|---|---|---|---|
| `15_10_18_21` | 100 | 540 | 985 x 986 | ~3.33 Hz | counterclockwise | untracked | 1.46 GB |
| `15_10_50_19` | 60 | 360 | 985 x 986 | ~3.33 Hz | counterclockwise | untracked | 592.12 MB |
| `15_16_45_06` | 100 | 540 | 985 x 986 | ~3.33 Hz | counterclockwise | untracked | 1.46 GB |
| `22_12_10_52` | 150 | 540 | 2048 x 2048 | ~3.33 Hz | clockwise | tracked | 2.36 GB |
| `22_12_29_46` | 100 | 540 | 2048 x 2048 | ~8.33 Hz | clockwise | tracked | 1.60 GB |
| `22_12_38_45` | 150 | 360 | 2048 x 2048 | ~8.33 Hz | clockwise | tracked | 1.58 GB |
| `22_13_10_16` | 100 | 540 | 2048 x 2048 | ~8.33 Hz | clockwise | tracked | 1.54 GB |
| `22_13_56_43` | 100 | 540 | 2048 x 2048 | ~8.33 Hz | clockwise | tracked | 1.53 GB |
| `22_14_29_54` | 150 | 360 | 2048 x 2048 | ~3.33 Hz | clockwise | tracked | 1.65 GB |

## Subject Metadata

Animal study data — no human subjects.

## Data Validation

A `zea.Pipeline` reconstructs the IVUS B-mode from the raw channel data
(RF → envelope → normalization → log compression → scan conversion). See
[reconstruct.py](../reconstruct.py) and [pipeline.yaml](../pipeline.yaml). Linear encoder position (when applicable) and segmentation masks are overlayed on the B-modes.

## Known Issues

- Untracked (`15_*`) acquisitions have no `pullback_position`, so the pullback
  trajectory panel is omitted during reconstruction.

## Ethical Considerations

Porcine animal study data only; contains no human subjects or PHI. Collected and
released in compliance with applicable institutional animal care approvals and
OpenH-RF governance and data-sharing policies.

	---
	name: "OpenH-RF — Mosaic Intelligence / NuevoSono IVUS"
	license: cc-by-4.0
	task_categories:
	- image-segmentation
	tags:
	- ultrasound
	- rf
	- openh-rf
	- IVUS
	- tracked-ultrasound
	---

	# Data Card — Mosaic Intelligence / NuevoSono in-vivo IVUS

	This data card consists of a collection of in-vivo intravascular ultrasound (IVUS) acquisitions from a porcine study. Each acquisition is saved in the zea file format. The general dataset sections below (contributors, license, characterization, etc.) apply to all acquisitions, with individual subsections detailing each dataset's specific dimensions and which optional groups are present.

	There are 9 acquisitions in total:

	*Group 1: `15_` acquisitions (untracked, counterclockwise rotation):**
	- `15_10_18_21`
	- `15_10_50_19`
	- `15_16_45_06`

	*Group 2: `22_` acquisitions (tracked, linear encoder pullback, clockwise rotation):**
	- `22_12_10_52`
	- `22_12_29_46`
	- `22_12_38_45`
	- `22_13_10_16`
	- `22_13_56_43`
	- `22_14_29_54`

	## Dataset Description

	Each dataset is an IVUS acquisition collected in a porcine animal study. The source data consists of raw IVUS RF frames and a pre-computed (scan-converted) B-mode image. Six of the acquisitions have time-sampled linear encoder pullback positions of the IVUS probe at each frame. For each acquisition and for every frame, per-class segmentation masks are provided for the vessel lumen, intima-media, and guidewire.

	## Dataset Contributors

	Mosaic Intelligence Labs in collaboration with NuevoSono

	Primary points of contact:
	Brian Boitnott (1): brian@mosaicintelligence.xyz
	Ali Mackanic (1): ali@mosaicintelligence.xyz

	## Dataset Creation Date

	07/17/2026

	## License / Terms of Use

	All contributed data, labels, and metadata is released by Mosaic Intelligence Labs
	and NuevoSono under CC BY 4.0.
	Pre-existing hardware, software, simulation, and platform intellectual property
	remain the property of their respective owners. The team agrees to comply with
	OpenH-RF governance, publication, and data-sharing policies. The license is also
	recorded in each file's `metadata/credit` field.

	## Intended Usage

	Intended for IVUS tracking and segmentation applications, including lesion
	detection and image-guided intervention.

	## Dataset Characterization

	- Data Collection Method: Porcine (in-vivo animal study)
	- Labeling Method: derived tracking metadata, semi-automated labeling
	- Acquisition System: Single-element IVUS, center frequency 30 MHz,
	sampling rate 1 GHz

	## Dataset Format

	All acquisitions are submitted in the zea file format. The RF data is stored as
	a rotational sequence of A-lines (`n_tx` transmits per frame, one element/channel);
	the accompanying B-mode `image` and `segmentation` masks are pre-computed,
	scan-converted Cartesian frames sharing a per-pixel coordinate grid.

	### Shared per-sample schema

	Fields that are in every acquisition:

	\| Group / field \| Shape \| Dtype \| Units \| Description \|
	\|---\|---\|---\|---\|---\|
	\| `data/raw_data` \| `[n_frames, n_tx, n_ax, 1, 1]` \| float32 \| source RF units \| Raw IVUS RF frames (single element / channel) \|
	\| `data/image/values` \| `[n_frames, H, W]` \| uint8 \| — \| Pre-computed (scan-converted) B-mode image \|
	\| `data/image/coordinates` \| `[H, W, 3]` \| float32 \| m \| Per-pixel Cartesian positions `(x, y, z)`; cross-section lies in the x-y plane, `z = 0` \|
	\| `data/segmentation/values` \| `[n_frames, H, W, n_labels]` \| bool \| — \| Per-class boolean segmentation masks (one channel per label) \|
	\| `data/segmentation/coordinates` \| `[H, W, 3]` \| float32 \| m \| Same per-pixel grid as `image/coordinates` \|
	\| `data/segmentation/labels` \| `[n_labels]` \| str \| — \| Channel names: `background`, `lumen`, `intima_media`, `guidewire` \|
	\| `scan/*` \| — \| mixed \| Hz / s / rad / m \| Scan metadata (`sampling_frequency`, `center_frequency`, `demodulation_frequency`, `polar_angles`, `t0_delays`, `tx_apodizations`, `focus_distances`, `transmit_origins`, `initial_times`) \|
	\| `probe/name` \| scalar \| str \| — \| Probe name (`NuevoSono IVUS`) \|
	\| `probe/type` \| scalar \| str \| — \| Probe geometry type (`custom`) \|
	\| `probe/probe_geometry` \| `[1, 3]` \| float32 \| m \| Element position (single element at the origin) \|
	\| `probe/probe_center_frequency` \| scalar \| float32 \| Hz \| Nominal center frequency (30 MHz) \|
	\| `metadata/subject/{id, type}` \| scalar \| str \| — \| Subject identifier (`porcine_<acq>`) and type (`animal`) \|
	\| `metadata/credit` \| scalar \| str \| — \| Attribution: `Mosaic Intelligence - NuevoSono IVUS porcine dataset (CC BY 4.0)` \|
	\| `metadata/text_report` \| scalar \| str \| — \| transducer rotation direction \|
	\| `metadata/rotation/{samples, sampling_frequency, start_time_offset}` \| `[1]` / scalar / scalar \| float32 \| — / Hz / s \| Transducer rotation: `samples = +1` clockwise, `-1` counterclockwise \|
	\| `metadata/pullback_position/{samples, sampling_frequency, start_time_offset}` \| `[n_frames]` / scalar / scalar \| float32 \| m / Hz / s \| Linear encoder pullback position per frame (tracked acquisitions only) \|

	## Per-dataset details

	One data card per contributed sub-dataset. All fields follow the shared schema above. `n_ax = 8192`, `n_el = 1`, and `n_labels = 4` (`background`, `lumen`,
	`intima_media`, `guidewire`) for every acquisition.

	### `15_10_18_21` (untracked, counterclockwise)

	- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = 985`, `W = 986`
	- Frame rate: ~3.33 Hz
	- Rotation: `metadata/rotation/samples = -1` (counterclockwise); `metadata/text_report = "Transducer rotation direction: counterclockwise."`
	- Tracking: none — no `metadata/pullback_position` group (source has no `frameAttributes.txt`)
	- Stored HDF5 size: 1.46 GB (1,456,209,920 bytes).
	- Note: the image/mask grid is non-square (`985 x 986`)

	![15_10_18_21 reconstruction overview](../outputs/15_10_18_21/overview_5_frames.png)

	### `15_10_50_19` (untracked, counterclockwise)

	- Dimensions: `n_frames = 60`, `n_tx = 360`, `H = 985`, `W = 986`
	- Frame rate: ~3.33 Hz
	- Rotation: `metadata/rotation/samples = -1` (counterclockwise)
	- Tracking: none — no `metadata/pullback_position` group
	- Stored HDF5 size: 592.12 MB (592,117,760 bytes).
	- Note: the image/mask grid is non-square (`985 x 986`)

	![15_10_50_19 reconstruction overview](../outputs/15_10_50_19/overview_5_frames.png)

	### `15_16_45_06` (untracked, counterclockwise)

	- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = 985`, `W = 986`
	- Frame rate: ~3.33 Hz
	- Rotation: `metadata/rotation/samples = -1` (counterclockwise)
	- Tracking: none — no `metadata/pullback_position` group
	- Stored HDF5 size: 1.46 GB (1,456,275,456 bytes).
	- Note: the image/mask grid is non-square (`985 x 986`)

	![15_16_45_06 reconstruction overview](../outputs/15_16_45_06/overview_5_frames.png)

	### `22_12_10_52` (tracked, clockwise)

	- Dimensions: `n_frames = 150`, `n_tx = 540`, `H = W = 2048`
	- Frame rate: ~3.33 Hz
	- Rotation: `metadata/rotation/samples = +1` (clockwise)
	- Tracking: includes `metadata/pullback_position` `[150]` (linear encoder position per frame)
	- Stored HDF5 size: 2.36 GB (2,356,936,704 bytes).

	![22_12_10_52 reconstruction overview](../outputs/22_12_10_52/overview_5_frames.png)

	### `22_12_29_46` (tracked, clockwise)

	- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = W = 2048`
	- Frame rate: ~8.33 Hz
	- Rotation: `metadata/rotation/samples = +1` (clockwise)
	- Tracking: includes `metadata/pullback_position` `[100]`
	- Stored HDF5 size: 1.60 GB (1,602,945,024 bytes).

	![22_12_29_46 reconstruction overview](../outputs/22_12_29_46/overview_5_frames.png)

	### `22_12_38_45` (tracked, clockwise)

	- Dimensions: `n_frames = 150`, `n_tx = 360`, `H = W = 2048`
	- Frame rate: ~8.33 Hz
	- Rotation: `metadata/rotation/samples = +1` (clockwise)
	- Tracking: includes `metadata/pullback_position` `[150]`
	- Stored HDF5 size: 1.58 GB (1,576,337,408 bytes).

	![22_12_38_45 reconstruction overview](../outputs/22_12_38_45/overview_5_frames.png)

	### `22_13_10_16` (tracked, clockwise)

	- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = W = 2048`
	- Frame rate: ~8.33 Hz
	- Rotation: `metadata/rotation/samples = +1` (clockwise)
	- Tracking: includes `metadata/pullback_position` `[100]`
	- Stored HDF5 size: 1.54 GB (1,535,311,872 bytes).

	![22_13_10_16 reconstruction overview](../outputs/22_13_10_16/overview_5_frames.png)

	### `22_13_56_43` (tracked, clockwise)

	- Dimensions: `n_frames = 100`, `n_tx = 540`, `H = W = 2048`
	- Frame rate: ~8.33 Hz
	- Rotation: `metadata/rotation/samples = +1` (clockwise)
	- Tracking: includes `metadata/pullback_position` `[100]`
	- Stored HDF5 size: 1.53 GB (1,527,119,872 bytes).

	![22_13_56_43 reconstruction overview](../outputs/22_13_56_43/overview_5_frames.png)

	### `22_14_29_54` (tracked, clockwise)

	- Dimensions: `n_frames = 150`, `n_tx = 360`, `H = W = 2048`
	- Frame rate: ~3.33 Hz
	- Rotation: `metadata/rotation/samples = +1` (clockwise); `metadata/text_report = "Transducer rotation direction: clockwise."`
	- Tracking: includes `metadata/pullback_position` `[150]`
	- Stored HDF5 size: 1.65 GB (1,653,080,064 bytes).

	![22_14_29_54 reconstruction overview](../outputs/22_14_29_54/overview_5_frames.png)

	## Dataset Quantification

	Current OpenH-RF release: 9 HDF5 files; 13.76 GB (13,756,334,080 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.

	- Acquisitions: 9 (3 untracked `15_`, 6 tracked `22_`)
	- Frames per acquisition: 60–150 (1010 frames total across all acquisitions)
	- Frame rate: ~3.33 Hz or ~8.33 Hz depending on acquisition (see per-dataset table)
	- Train / validation / test split: N/A
	- Stored HDF5 size: 13.76 GB (13,756,334,080 bytes).

	\| Acquisition \| Frames \| `n_tx` \| `H x W` \| Frame rate \| Rotation \| Tracking \| Size \|
	\|---\|---\|---\|---\|---\|---\|---\|---\|
	\| `15_10_18_21` \| 100 \| 540 \| 985 x 986 \| ~3.33 Hz \| counterclockwise \| untracked \| 1.46 GB \|
	\| `15_10_50_19` \| 60 \| 360 \| 985 x 986 \| ~3.33 Hz \| counterclockwise \| untracked \| 592.12 MB \|
	\| `15_16_45_06` \| 100 \| 540 \| 985 x 986 \| ~3.33 Hz \| counterclockwise \| untracked \| 1.46 GB \|
	\| `22_12_10_52` \| 150 \| 540 \| 2048 x 2048 \| ~3.33 Hz \| clockwise \| tracked \| 2.36 GB \|
	\| `22_12_29_46` \| 100 \| 540 \| 2048 x 2048 \| ~8.33 Hz \| clockwise \| tracked \| 1.60 GB \|
	\| `22_12_38_45` \| 150 \| 360 \| 2048 x 2048 \| ~8.33 Hz \| clockwise \| tracked \| 1.58 GB \|
	\| `22_13_10_16` \| 100 \| 540 \| 2048 x 2048 \| ~8.33 Hz \| clockwise \| tracked \| 1.54 GB \|
	\| `22_13_56_43` \| 100 \| 540 \| 2048 x 2048 \| ~8.33 Hz \| clockwise \| tracked \| 1.53 GB \|
	\| `22_14_29_54` \| 150 \| 360 \| 2048 x 2048 \| ~3.33 Hz \| clockwise \| tracked \| 1.65 GB \|

	## Subject Metadata

	Animal study data — no human subjects.

	## Data Validation

	A `zea.Pipeline` reconstructs the IVUS B-mode from the raw channel data
	(RF → envelope → normalization → log compression → scan conversion). See
	[reconstruct.py](../reconstruct.py) and [pipeline.yaml](../pipeline.yaml). Linear encoder position (when applicable) and segmentation masks are overlayed on the B-modes.

	## Known Issues

	- Untracked (`15_*`) acquisitions have no `pullback_position`, so the pullback
	trajectory panel is omitted during reconstruction.

	## Ethical Considerations

	Porcine animal study data only; contains no human subjects or PHI. Collected and
	released in compliance with applicable institutional animal care approvals and
	OpenH-RF governance and data-sharing policies.