zeahub/zea-carotid-2023
TU/e Carotid 2023 Dataset Description The dataset includes carotid artery scans from 10 subjects. Each file includes 100 frames, at least one cardiac cycle. The acquisition scheme it consists of 128 line scanning interleaved with 21 plane waves. Included views: Bifurcation cross section Longitudinal bifurcation Cross section 2cm from bifurcation Cross section 1cm from bifurcation Longitudinal section 2cm from bifurcation Longitudinal section 1cm from bifurcation… See the full description on the dataset page: https://huggingface.co/datasets/zeahub/zea-carotid-2023.
TU/e Carotid 2023
Dataset Description
The dataset includes carotid artery scans from 10 subjects. Each file includes 100 frames, at least one cardiac cycle. The acquisition scheme it consists of 128 line scanning interleaved with 21 plane waves.
Included views:
- Bifurcation cross section
- Longitudinal bifurcation
- Cross section 2cm from bifurcation
- Cross section 1cm from bifurcation
- Longitudinal section 2cm from bifurcation
- Longitudinal section 1cm from bifurcation
- Longitudinal section
The acquisitions were performed with a Verasonics 256. The acquisitions were performed with a linear probe (Verasonics L114v). The same operator performed all acquisitions.
Dataset Contributors(s)
OpenH-RF
- Wessel van Nierop
- Tristan Stevens
- Oisín Nolan
- Simon Penninga
- Ruud van Sloun
Data acquisitions
- Beatrice Federici
- Vincent van der Schaft
- Ben Luijten
Dataset Creation Date
Nov 2023
License / Terms of Use
CC BY 4.0
Intended Usage
Image-quality / beamforming has both plane-wave (21) and focused acquisitions (128).
Dataset Characterization
- Data Collection Method: In-vivo Human Data
- Labeling Method: acquisitions per view
- Acquisition system: see file
Dataset Format
zea v1.4.0
Dataset Quantification
- Number of samples / frames / acquisitions
- Train / validation / test split (if applicable)
- Total size on disk
- Per-sample feature table (name, shape, dtype, units, description) — see NV-Raw2Insights-US for reference format
Subject Metadata
None
Data Validation
- reconstruct.py
- pipeline.yaml
Known Issues
None
Ethical Considerations
Approval was obtained from the Ethical Review Board TU/e (Eindhoven University of Technology).
Reference: ERB2023EE7 Contact details for the Ethical Review Board TU/e: T +31 (0)40 247 6259 <ethics@tue.nl> <intranet.tue.nl/ethics>
