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- Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/README.md +115 -0
- Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/episodes.jsonl +34 -0
- Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/episodes_stats.jsonl +34 -0
- Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/info.json +177 -0
- Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/tasks.jsonl +11 -0
- Ultrasound/cuhk/hongliang_ren/tracked_us/meta/README.md +115 -0
- Ultrasound/cuhk/hongliang_ren/tracked_us/meta/episodes.jsonl +30 -0
- Ultrasound/cuhk/hongliang_ren/tracked_us/meta/episodes_stats.jsonl +30 -0
- Ultrasound/cuhk/hongliang_ren/tracked_us/meta/info.json +177 -0
- Ultrasound/cuhk/hongliang_ren/tracked_us/meta/tasks.jsonl +6 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000001.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000009.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000010.parquet +3 -0
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- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000021.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000023.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000029.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000034.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000035.parquet +3 -0
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- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000043.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000044.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000048.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000061.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000063.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000064.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000067.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000068.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000069.parquet +3 -0
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- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000076.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000077.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000080.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000093.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000095.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000096.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000100.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000104.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000106.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000107.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000111.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000115.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000126.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000141.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000142.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000146.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000149.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000157.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000158.parquet +3 -0
- Ultrasound/cuhk/xiangyu_chu/bmt_insertion_dataset/bmt_insertion_dataset/data/chunk-000/episode_000161.parquet +3 -0
Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/README.md
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<!--
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Open-H Embodiment Dataset README Template (v1.0)
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Please fill out this template and include it in the ./metadata directory of your LeRobot dataset.
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This file helps others understand the context and details of your contribution.
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-->
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# [tracked_EUS] - README
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---
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## 📋 At a Glance
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* Endoscopic ultrasound (EUS) scanning with 6-DoF pose tracking on in-vivo porcine models.*
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---
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## 📖 Dataset Overview
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*This dataset consists of 34 trajectories of expert gastroenterologist performing EUS examinations on in-vivo porcine models
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The data contains synchronized data streams including B-mode ultrasound frames, white-light endoscopic video,
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and 6-DoF pose ground truth recorded via electromagnetic (EM) tracking,
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capturing standard clinical scanning procedures across the upper and lower digestive tracts.*
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| | |
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| :--- |:--------------------------------------------------------------------------------------------------------------------------------------------------|
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| **Total Trajectories** | `[34]` |
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| **Data Type** | `[ ] Clinical` `[ ] Ex-Vivo` `[ ] Table-Top Phantom` `[ ] Digital Simulation` `[ ] Physical Simulation` `[x] In-Vivo (Porcine Model)` |
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| **License** | CC BY 4.0 |
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| **Version** | `[e.g., 1.0]` |
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---
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## 🎯 Tasks & Domain
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### Domain
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*Select the primary domain for this dataset.*
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- [ ] **Surgical Robotics**
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- [ ] **Ultrasound Robotics**
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- [x] **Endoscopic ultrasound**
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### Demonstrated Skills
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The dataset demonstrates expert maneuvering and scanning of specific anatomical stations:
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* **Vascular Scanning**: Inferior Vena Cava (IVC), Portal Vein (PV), Thoracic Aorta.
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* **Organ Scanning**: Pancreas, Liver, Mediastinum.
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* **Station Navigation**: Gastric station scanning, Gastric Cardia entry.
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* **Procedure Phases**: Endoscope insertion, Transrectal EUS survey.
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---
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## 🔬 Data Collection Details
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### Collection Method
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*How was the data collected?*
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- [ ] **Human Teleoperation**
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- [ ] **Programmatic/State-Machine**
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- [ ] **AI Policy / Autonomous**
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- [x] **Human Operation**
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### Operator Details
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| | Description |
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| :--- |:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| **Operator Count** | `[1]` |
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| **Operator Skill Level** | `[x] Expert (e.g., Surgeon, Sonographer)` <br> `[ ] Intermediate (e.g., Trained Researcher)` <br> `[ ] Novice (e.g., ML Researcher with minimal experience)` <br> `[ ] N/A` |
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| **Collection Period** | From `[2025-11-1]` to `[2026-1-30]` |
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### Recovery Demonstrations
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*Does this dataset include examples of recovering from failure?*
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- [ ] **Yes**
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- [x] **No**
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---
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## 🎯 Action & State Space Representation
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### State Space
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- **`observation.state`**: `[tx, ty, tz, qx, qy, qz, qw, quality]`
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- EM Tracker pose of the probe tip relative to the emitter base.
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- Index 7 represents the tracker signal quality.
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### Action Space
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- **`action`**: `[tx, ty, tz, qx, qy, qz, qw]`
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- Target pose for the next timestep (Delta-time prediction target).
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### Metadata Fields
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- **`observation.meta.probe_acquisition_param`**: `[freq, depth, gain, fps]`
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- **`observation.meta.prob_cali_mtx`**: **Placeholder (Identity)**.
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- *Note: Calibration between the Ultrasound image plane and the EM sensor is not currently provided. This field contains identity transforms for structural compliance.*
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---
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## ⏱️ Data Synchronization Approach
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*Temporal synchronization was achieved through a motion-based calibration involving periodic Z-axis probe movements
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in a water tank. We calculated the optimal time offset by cross-correlating the images intensity waveform
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with the EM sensor's data.*
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---
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## 👥 Attribution & Contact
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| | |
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| :--- |:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| **Dataset Lead** | `[Erqi Wang, Rui Ji, Zhen Li, Ning Zhong, Xiuli Zuo, Hongliang Ren]` |
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| **Institution** | `[Chinese University of Hong Kong, Qilu Hospital of Shandong University]` |
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| **Contact Email** | `[ewang@link.cuhk.edu.hk]` |
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| **Citation (BibTeX)** | <pre><code>@misc{[Tracked_EUS],<br> author = {[Erqi Wang, Rui Ji, Zhen Li, Ning Zhong, Xiuli Zuo, Hongliang Ren]},<br> title = {[Tracked_EUS]},<br> year = {2025},<br> publisher = {Open-H-Embodiment},<br> note = {https://hrpp.research.virginia.edu/teams/irb-sbs/researcher-guide-irb-sbs/identifiers}<br>}</code></pre> |
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Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/episodes.jsonl
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{"episode_index": 0, "tasks": ["Scan inferior vena cava on porcine"], "length": 640}
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{"episode_index": 1, "tasks": ["Scan protal vein and liver on porcine"], "length": 1171}
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{"episode_index": 2, "tasks": ["Scan protal vein and liver on porcine"], "length": 853}
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{"episode_index": 3, "tasks": ["Scan thoracic aorta and mediastinum on porcine"], "length": 990}
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{"episode_index": 4, "tasks": ["Scan pancreas on porcine"], "length": 728}
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{"episode_index": 5, "tasks": ["Transrectal EUS survey on porcine"], "length": 926}
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{"episode_index": 6, "tasks": ["Gastric station scanning on procine"], "length": 1074}
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{"episode_index": 7, "tasks": ["Scan thoracic aorta on porcine"], "length": 801}
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{"episode_index": 8, "tasks": ["Gastric station scanning on procine"], "length": 1221}
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{"episode_index": 9, "tasks": ["Scan thoracic aorta and mediastinum on porcine"], "length": 819}
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{"episode_index": 10, "tasks": ["Transrectal EUS survey on porcine"], "length": 1858}
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{"episode_index": 11, "tasks": ["Gastric station scanning on procine"], "length": 551}
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{"episode_index": 12, "tasks": ["Scan pancreas on porcine"], "length": 936}
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{"episode_index": 13, "tasks": ["Scan inferior vena cava on porcine"], "length": 682}
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{"episode_index": 14, "tasks": ["Scan inferior vena cava on porcine"], "length": 877}
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{"episode_index": 15, "tasks": ["Transrectal EUS survey on porcine"], "length": 1022}
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{"episode_index": 16, "tasks": ["Scan inferior vena cava on porcine"], "length": 352}
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{"episode_index": 17, "tasks": ["Scan protal vein and liver on porcine"], "length": 1541}
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{"episode_index": 18, "tasks": ["Insert endoscope on porcine"], "length": 2222}
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{"episode_index": 19, "tasks": ["Transrectal EUS survey on porcine"], "length": 1001}
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{"episode_index": 20, "tasks": ["Enter Gastric Cardia on porcine"], "length": 1101}
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{"episode_index": 21, "tasks": ["Gastric station scanning on procine"], "length": 818}
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{"episode_index": 22, "tasks": ["Scan portal vein on porcine"], "length": 764}
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{"episode_index": 23, "tasks": ["Transrectal EUS survey on porcine"], "length": 1001}
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{"episode_index": 24, "tasks": ["Transrectal EUS survey on porcine"], "length": 916}
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{"episode_index": 25, "tasks": ["Scan protal vein and liver on porcine"], "length": 936}
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{"episode_index": 26, "tasks": ["Scan portal vein on porcine"], "length": 706}
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{"episode_index": 27, "tasks": ["Scan pancreas on porcine"], "length": 624}
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{"episode_index": 28, "tasks": ["Scan inferior vena cava on porcine"], "length": 662}
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{"episode_index": 29, "tasks": ["Transrectal EUS survey on porcine"], "length": 1200}
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{"episode_index": 30, "tasks": ["Transrectal EUS survey on porcine"], "length": 1046}
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{"episode_index": 31, "tasks": ["Gastric station scanning on procine"], "length": 1471}
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{"episode_index": 32, "tasks": ["Insert through esophagus on porcine"], "length": 1011}
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{"episode_index": 33, "tasks": ["Scan inferior vena cava on porcine"], "length": 904}
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Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/episodes_stats.jsonl
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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|
| 7 |
+
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|
| 8 |
+
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|
| 9 |
+
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|
| 10 |
+
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|
| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/info.json
ADDED
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@@ -0,0 +1,177 @@
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| 1 |
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{
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| 37 |
+
"video.fps": 25,
|
| 38 |
+
"video.channels": 3,
|
| 39 |
+
"has_audio": false
|
| 40 |
+
}
|
| 41 |
+
},
|
| 42 |
+
"observation.images.endoscope": {
|
| 43 |
+
"dtype": "video",
|
| 44 |
+
"shape": [
|
| 45 |
+
1080,
|
| 46 |
+
1080,
|
| 47 |
+
3
|
| 48 |
+
],
|
| 49 |
+
"names": [
|
| 50 |
+
"height",
|
| 51 |
+
"width",
|
| 52 |
+
"channel"
|
| 53 |
+
],
|
| 54 |
+
"info": {
|
| 55 |
+
"video.height": 1080,
|
| 56 |
+
"video.width": 1080,
|
| 57 |
+
"video.codec": "av1",
|
| 58 |
+
"video.pix_fmt": "yuv420p",
|
| 59 |
+
"video.is_depth_map": false,
|
| 60 |
+
"video.fps": 25,
|
| 61 |
+
"video.channels": 3,
|
| 62 |
+
"has_audio": false
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
"observation.state": {
|
| 66 |
+
"dtype": "float32",
|
| 67 |
+
"shape": [
|
| 68 |
+
8
|
| 69 |
+
],
|
| 70 |
+
"names": [
|
| 71 |
+
"tx",
|
| 72 |
+
"ty",
|
| 73 |
+
"tz",
|
| 74 |
+
"qx",
|
| 75 |
+
"qy",
|
| 76 |
+
"qz",
|
| 77 |
+
"qw",
|
| 78 |
+
"tracker_quality"
|
| 79 |
+
]
|
| 80 |
+
},
|
| 81 |
+
"action": {
|
| 82 |
+
"dtype": "float32",
|
| 83 |
+
"shape": [
|
| 84 |
+
7
|
| 85 |
+
],
|
| 86 |
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"names": [
|
| 87 |
+
"tx",
|
| 88 |
+
"ty",
|
| 89 |
+
"tz",
|
| 90 |
+
"qx",
|
| 91 |
+
"qy",
|
| 92 |
+
"qz",
|
| 93 |
+
"qw"
|
| 94 |
+
]
|
| 95 |
+
},
|
| 96 |
+
"instruction.text": {
|
| 97 |
+
"dtype": "string",
|
| 98 |
+
"shape": [
|
| 99 |
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1
|
| 100 |
+
],
|
| 101 |
+
"names": [
|
| 102 |
+
"instruction"
|
| 103 |
+
]
|
| 104 |
+
},
|
| 105 |
+
"observation.meta.probe_type": {
|
| 106 |
+
"dtype": "string",
|
| 107 |
+
"shape": [
|
| 108 |
+
1
|
| 109 |
+
],
|
| 110 |
+
"names": [
|
| 111 |
+
"model_string"
|
| 112 |
+
]
|
| 113 |
+
},
|
| 114 |
+
"observation.meta.probe_acquisition_param": {
|
| 115 |
+
"dtype": "float32",
|
| 116 |
+
"shape": [
|
| 117 |
+
4
|
| 118 |
+
],
|
| 119 |
+
"names": [
|
| 120 |
+
"center_frequency_mhz",
|
| 121 |
+
"imaging_depth_cm",
|
| 122 |
+
"gain",
|
| 123 |
+
"fps"
|
| 124 |
+
]
|
| 125 |
+
},
|
| 126 |
+
"observation.meta.prob_cali_mtx": {
|
| 127 |
+
"dtype": "float32",
|
| 128 |
+
"shape": [
|
| 129 |
+
7
|
| 130 |
+
],
|
| 131 |
+
"names": [
|
| 132 |
+
"tx",
|
| 133 |
+
"ty",
|
| 134 |
+
"tz",
|
| 135 |
+
"qx",
|
| 136 |
+
"qy",
|
| 137 |
+
"qz",
|
| 138 |
+
"qw"
|
| 139 |
+
]
|
| 140 |
+
},
|
| 141 |
+
"timestamp": {
|
| 142 |
+
"dtype": "float32",
|
| 143 |
+
"shape": [
|
| 144 |
+
1
|
| 145 |
+
],
|
| 146 |
+
"names": null
|
| 147 |
+
},
|
| 148 |
+
"frame_index": {
|
| 149 |
+
"dtype": "int64",
|
| 150 |
+
"shape": [
|
| 151 |
+
1
|
| 152 |
+
],
|
| 153 |
+
"names": null
|
| 154 |
+
},
|
| 155 |
+
"episode_index": {
|
| 156 |
+
"dtype": "int64",
|
| 157 |
+
"shape": [
|
| 158 |
+
1
|
| 159 |
+
],
|
| 160 |
+
"names": null
|
| 161 |
+
},
|
| 162 |
+
"index": {
|
| 163 |
+
"dtype": "int64",
|
| 164 |
+
"shape": [
|
| 165 |
+
1
|
| 166 |
+
],
|
| 167 |
+
"names": null
|
| 168 |
+
},
|
| 169 |
+
"task_index": {
|
| 170 |
+
"dtype": "int64",
|
| 171 |
+
"shape": [
|
| 172 |
+
1
|
| 173 |
+
],
|
| 174 |
+
"names": null
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
}
|
Ultrasound/cuhk/hongliang_ren/tracked_eus/meta/tasks.jsonl
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"task_index": 0, "task": "Scan inferior vena cava on porcine"}
|
| 2 |
+
{"task_index": 1, "task": "Scan protal vein and liver on porcine"}
|
| 3 |
+
{"task_index": 2, "task": "Scan thoracic aorta and mediastinum on porcine"}
|
| 4 |
+
{"task_index": 3, "task": "Scan pancreas on porcine"}
|
| 5 |
+
{"task_index": 4, "task": "Transrectal EUS survey on porcine"}
|
| 6 |
+
{"task_index": 5, "task": "Gastric station scanning on procine"}
|
| 7 |
+
{"task_index": 6, "task": "Scan thoracic aorta on porcine"}
|
| 8 |
+
{"task_index": 7, "task": "Insert endoscope on porcine"}
|
| 9 |
+
{"task_index": 8, "task": "Enter Gastric Cardia on porcine"}
|
| 10 |
+
{"task_index": 9, "task": "Scan portal vein on porcine"}
|
| 11 |
+
{"task_index": 10, "task": "Insert through esophagus on porcine"}
|
Ultrasound/cuhk/hongliang_ren/tracked_us/meta/README.md
ADDED
|
@@ -0,0 +1,115 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<!--
|
| 2 |
+
Open-H Embodiment Dataset README Template (v1.0)
|
| 3 |
+
Please fill out this template and include it in the ./metadata directory of your LeRobot dataset.
|
| 4 |
+
This file helps others understand the context and details of your contribution.
|
| 5 |
+
-->
|
| 6 |
+
|
| 7 |
+
# [tracked_US] - README
|
| 8 |
+
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
## 📋 At a Glance
|
| 12 |
+
|
| 13 |
+
* Freehand ultrasound scanning on human forearm with 6-DoF pose tracking.*
|
| 14 |
+
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
## 📖 Dataset Overview
|
| 18 |
+
|
| 19 |
+
*This dataset consists of 34 trajectories of expert gastroenterologist performing EUS examinations on in-vivo porcine models
|
| 20 |
+
The data contains synchronized data streams including B-mode ultrasound frames, white-light endoscopic video,
|
| 21 |
+
and 6-DoF pose ground truth recorded via electromagnetic (EM) tracking,
|
| 22 |
+
capturing standard clinical scanning procedures across the upper and lower digestive tracts.*
|
| 23 |
+
|
| 24 |
+
| | |
|
| 25 |
+
| :--- |:-------------------------------------------------------------------------------------------------------------------------------|
|
| 26 |
+
| **Total Trajectories** | `[30]` |
|
| 27 |
+
| **Data Type** | `[x] Clinical (Human Volunteer)` `[ ] Ex-Vivo` `[ ] Table-Top Phantom` `[ ] Digital Simulation` `[ ] Physical Simulation` |
|
| 28 |
+
| **License** | CC BY 4.0 |
|
| 29 |
+
| **Version** | `[e.g., 1.0]` |
|
| 30 |
+
|
| 31 |
+
---
|
| 32 |
+
|
| 33 |
+
## 🎯 Tasks & Domain
|
| 34 |
+
|
| 35 |
+
### Domain
|
| 36 |
+
|
| 37 |
+
*Select the primary domain for this dataset.*
|
| 38 |
+
|
| 39 |
+
- [ ] **Surgical Robotics**
|
| 40 |
+
- [ ] **Ultrasound Robotics**
|
| 41 |
+
- [x] **Endoscopic ultrasound**
|
| 42 |
+
|
| 43 |
+
### Demonstrated Skills
|
| 44 |
+
|
| 45 |
+
The dataset demonstrates systematic freehand scanning patterns used for sensor calibration and surface anatomical mapping:
|
| 46 |
+
|
| 47 |
+
* **Linear Scanning**: Straight-line sweeps along the forearm (parallel/perpendicular).
|
| 48 |
+
* **Curvilinear Scanning**: C-shape trajectories manipulating probe orientation.
|
| 49 |
+
* **Complex Trajectories**: S-shape scanning covering larger surface areas.
|
| 50 |
+
* **Probe Orientation Control**: Maintaining contact while varying orientation (Parallel vs. Perpendicular to arm axis).
|
| 51 |
+
|
| 52 |
+
---
|
| 53 |
+
|
| 54 |
+
## 🔬 Data Collection Details
|
| 55 |
+
|
| 56 |
+
### Collection Method
|
| 57 |
+
|
| 58 |
+
*How was the data collected?*
|
| 59 |
+
|
| 60 |
+
- [ ] **Human Teleoperation**
|
| 61 |
+
- [ ] **Programmatic/State-Machine**
|
| 62 |
+
- [ ] **AI Policy / Autonomous**
|
| 63 |
+
- [x] **Human Operation**
|
| 64 |
+
|
| 65 |
+
### Operator Details
|
| 66 |
+
|
| 67 |
+
| | Description |
|
| 68 |
+
| :--- |:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 69 |
+
| **Operator Count** | `[1]` |
|
| 70 |
+
| **Operator Skill Level** | `[x] Expert (e.g., Surgeon, Sonographer)` <br> `[ ] Intermediate (e.g., Trained Researcher)` <br> `[ ] Novice (e.g., ML Researcher with minimal experience)` <br> `[ ] N/A` |
|
| 71 |
+
| **Collection Period** | From `[2025-11-1]` to `[2026-1-30]` |
|
| 72 |
+
|
| 73 |
+
### Recovery Demonstrations
|
| 74 |
+
|
| 75 |
+
*Does this dataset include examples of recovering from failure?*
|
| 76 |
+
|
| 77 |
+
- [ ] **Yes**
|
| 78 |
+
- [x] **No**
|
| 79 |
+
---
|
| 80 |
+
|
| 81 |
+
## 🎯 Action & State Space Representation
|
| 82 |
+
|
| 83 |
+
### State Space
|
| 84 |
+
- **`observation.state`**: `[tx, ty, tz, qx, qy, qz, qw, quality]`
|
| 85 |
+
- EM Tracker pose of the probe tip relative to the emitter base.
|
| 86 |
+
- Index 7 represents the tracker signal quality.
|
| 87 |
+
|
| 88 |
+
### Action Space
|
| 89 |
+
- **`action`**: `[tx, ty, tz, qx, qy, qz, qw]`
|
| 90 |
+
- Target pose for the next timestep (Delta-time prediction target).
|
| 91 |
+
|
| 92 |
+
### Metadata Fields
|
| 93 |
+
- **`observation.meta.probe_acquisition_param`**: `[freq, depth, gain, fps]`
|
| 94 |
+
- **`observation.meta.prob_cali_mtx`**: **Placeholder (Identity)**.
|
| 95 |
+
- *Note: Calibration between the Ultrasound image plane and the EM sensor is not currently provided. This field contains identity transforms for structural compliance.*
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
---
|
| 99 |
+
|
| 100 |
+
## ⏱️ Data Synchronization Approach
|
| 101 |
+
|
| 102 |
+
*Temporal synchronization was achieved through a motion-based calibration involving periodic Z-axis probe movements
|
| 103 |
+
in a water tank. We calculated the optimal time offset by cross-correlating the images intensity waveform
|
| 104 |
+
with the EM sensor's data.*
|
| 105 |
+
|
| 106 |
+
---
|
| 107 |
+
|
| 108 |
+
## 👥 Attribution & Contact
|
| 109 |
+
|
| 110 |
+
| | |
|
| 111 |
+
| :--- |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
|
| 112 |
+
| **Dataset Lead** | `[Erqi Wang, Rui Ji, Zhen Li, Ning Zhong, Xiuli Zuo, Hongliang Ren]` |
|
| 113 |
+
| **Institution** | `[Chinese University of Hong Kong, Qilu Hospital of Shandong University]` |
|
| 114 |
+
| **Contact Email** | `[ewang@link.cuhk.edu.hk]` |
|
| 115 |
+
| **Citation (BibTeX)** | <pre><code>@misc{[Tracked_US],<br> author = {[Erqi Wang, Rui Ji, Zhen Li, Ning Zhong, Xiuli Zuo, Hongliang Ren]},<br> title = {[Tracked_US]},<br> year = {2025},<br> publisher = {Open-H-Embodiment},<br> note = {https://hrpp.research.virginia.edu/teams/irb-sbs/researcher-guide-irb-sbs/identifiers}<br>}</code></pre> |
|
Ultrasound/cuhk/hongliang_ren/tracked_us/meta/episodes.jsonl
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"episode_index": 0, "tasks": ["Linear scanning on arm (perpendicular)"], "length": 138}
|
| 2 |
+
{"episode_index": 1, "tasks": ["C shape scanning on arm (perpendicular)"], "length": 211}
|
| 3 |
+
{"episode_index": 2, "tasks": ["Linear scanning on arm (perpendicular)"], "length": 267}
|
| 4 |
+
{"episode_index": 3, "tasks": ["S shape scanning on arm (parallel)"], "length": 182}
|
| 5 |
+
{"episode_index": 4, "tasks": ["C shape scanning on arm (parallel)"], "length": 128}
|
| 6 |
+
{"episode_index": 5, "tasks": ["C shape scanning on arm (parallel)"], "length": 205}
|
| 7 |
+
{"episode_index": 6, "tasks": ["C shape scanning on arm (parallel)"], "length": 217}
|
| 8 |
+
{"episode_index": 7, "tasks": ["S shape scanning on arm (perpendicular)"], "length": 372}
|
| 9 |
+
{"episode_index": 8, "tasks": ["S shape scanning on arm (parallel)"], "length": 375}
|
| 10 |
+
{"episode_index": 9, "tasks": ["Linear scanning on arm (parallel)"], "length": 259}
|
| 11 |
+
{"episode_index": 10, "tasks": ["Linear scanning on arm (parallel)"], "length": 319}
|
| 12 |
+
{"episode_index": 11, "tasks": ["Linear scanning on arm (perpendicular)"], "length": 123}
|
| 13 |
+
{"episode_index": 12, "tasks": ["C shape scanning on arm (perpendicular)"], "length": 107}
|
| 14 |
+
{"episode_index": 13, "tasks": ["S shape scanning on arm (perpendicular)"], "length": 165}
|
| 15 |
+
{"episode_index": 14, "tasks": ["Linear scanning on arm (perpendicular)"], "length": 227}
|
| 16 |
+
{"episode_index": 15, "tasks": ["S shape scanning on arm (perpendicular)"], "length": 164}
|
| 17 |
+
{"episode_index": 16, "tasks": ["Linear scanning on arm (perpendicular)"], "length": 330}
|
| 18 |
+
{"episode_index": 17, "tasks": ["C shape scanning on arm (parallel)"], "length": 223}
|
| 19 |
+
{"episode_index": 18, "tasks": ["Linear scanning on arm (parallel)"], "length": 152}
|
| 20 |
+
{"episode_index": 19, "tasks": ["Linear scanning on arm (perpendicular)"], "length": 323}
|
| 21 |
+
{"episode_index": 20, "tasks": ["S shape scanning on arm (parallel)"], "length": 280}
|
| 22 |
+
{"episode_index": 21, "tasks": ["C shape scanning on arm (parallel)"], "length": 89}
|
| 23 |
+
{"episode_index": 22, "tasks": ["S shape scanning on arm (perpendicular)"], "length": 368}
|
| 24 |
+
{"episode_index": 23, "tasks": ["Linear scanning on arm (parallel)"], "length": 224}
|
| 25 |
+
{"episode_index": 24, "tasks": ["C shape scanning on arm (perpendicular)"], "length": 208}
|
| 26 |
+
{"episode_index": 25, "tasks": ["C shape scanning on arm (perpendicular)"], "length": 184}
|
| 27 |
+
{"episode_index": 26, "tasks": ["C shape scanning on arm (perpendicular)"], "length": 123}
|
| 28 |
+
{"episode_index": 27, "tasks": ["Linear scanning on arm (parallel)"], "length": 425}
|
| 29 |
+
{"episode_index": 28, "tasks": ["S shape scanning on arm (parallel)"], "length": 415}
|
| 30 |
+
{"episode_index": 29, "tasks": ["S shape scanning on arm (parallel)"], "length": 204}
|
Ultrasound/cuhk/hongliang_ren/tracked_us/meta/episodes_stats.jsonl
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
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|
| 2 |
+
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|
| 3 |
+
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|
| 4 |
+
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|
| 5 |
+
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|
| 6 |
+
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|
| 7 |
+
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|
| 8 |
+
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|
| 9 |
+
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|
| 10 |
+
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|
| 11 |
+
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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Ultrasound/cuhk/hongliang_ren/tracked_us/meta/info.json
ADDED
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