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CPWC of 75 PWs, 3PWs and 1PW
- Citation Author(s):
- Submitted by:
- Yijia Liu
- Last updated:
- Thu, 08/01/2024 - 06:33
- DOI:
- 10.21227/tzcv-7r76
- License:
79 Views- Categories:
- Keywords:
Abstract
This data abstract pertains to an ultrasound imaging dataset that includes imaging data from both CIRS phantoms and human carotid artery cross-sections. The dataset encompasses:
- 75 Plane Waves Compound Plane Wave Coherent (CPWC) Results: CPWC imaging results obtained using 75 plane waves uniformly sampled from ±16° using the Verasonics system.
- Middle Single Plane Wave and ±10° DAS Results: Includes imaging results from the central single plane wave and Delay-and-Sum (DAS) imaging results at ±10°.
- Compound Plane Wave Coherent (CPWC) Results for Three Angles: CPWC imaging results for these three angles (middle single plane wave and ±10°).
The dataset aims to provide a comprehensive resource for researchers developing and validating ultrasound imaging technologies, particularly in the field of plane wave imaging. The data will be made publicly available to facilitate further research and validation in this field.
This dataset consists of ultrasound imaging data from both CIRS phantoms and human carotid artery cross-sections, organized into four directories within the main folder:
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Compound: Contains results from 75 Plane Waves Compound Plane Wave Coherent (CPWC), using waves uniformly sampled from ±16° with the Verasonics system.
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Left/Mid/Right: Each folder contains Delay-and-Sum (DAS) imaging results for the middle single plane wave and ±10°, respectively.
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ThreeAngleCompound: Holds the Compound Plane Wave Coherent (CPWC) results for three angles, incorporating the imaging data from the middle plane wave and the ±10° steered angles.
All results are stored as MATLAB (.mat) files, facilitating easy access and analysis for research purposes. The comprehensive organization and labeling of the data aim to support ongoing research in advanced ultrasound imaging techniques, specifically focusing on plane wave imaging applications. The data will be made publicly available to promote broader research collaboration and development in this field.
