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Data accompanying the publication: Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation

dataset
posted on 11.01.2021, 12:02 by Wiendelt Steenbergen, Altaf Hussain, Ho Nhu Y Nguyen
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.

Funding

Risk assessment of plaque rupture and future cardiovascular events (CVENT) by multi-spectral photoacoustic imaging

European Commission

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History

Publisher

4TU.ResearchData

Organizations

University of Twente, Faculty of Science and Technology, Biomedical Photonic Imaging Group

Licence

Exports