cff-version: 1.2.0
abstract: "
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."
authors:
- family-names: Steenbergen
given-names: Wiendelt
- family-names: Hussain
given-names: Altaf
- family-names: Nguyen
given-names: Ho Nhu'y
orcid: "https://orcid.org/0000-0001-7099-6489"
title: "Data accompanying the publication: Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation"
keywords:
version: 1
identifiers:
- type: doi
value: 10.4121/13547417.v1
license: CC BY 4.0
date-released: 2021-01-11