Data accompanying the publication: Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation
doi:10.4121/13547417.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/13547417
doi: 10.4121/13547417
Datacite citation style:
Steenbergen, Wiendelt; Hussain, Altaf; Nguyen, Ho Nhu'y (2021): Data accompanying the publication: Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13547417.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
CC BY 4.0
This dataset contains the data used in the article: “Reflection
artifact identification in photoacoustic imaging using multi-wavelength
excitation”.In this paper, we propose a new method where we
exploit the use of multi-spectral photoacoustic imaging (PAI) for
identifying and removing reflection artifacts (RAs). Imaging with
multiple wavelengths, PA spectral responses of the features in the
acquired image can be obtained. Our method is based on the assumption
that RAs are better correlated with the image features of their
corresponding original absorbers than with other features, exposing the
suspicious artifacts. In addition, RAs appear at larger depths and have
weaker signals than the original image feature. Combining these findings
can reveal the RAs and remove them.
history
- 2021-01-11 first online, published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation
funding
- Risk assessment of plaque rupture and future cardiovascular events (CVENT) by multi-spectral photoacoustic imaging (grant code 731771) [more info...] European Commission
organizations
University of Twente, Faculty of Science and Technology, Biomedical Photonic Imaging Group
DATA
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