cff-version: 1.2.0
abstract: "<div>This dataset contains the data used in the article: “Reflection 
artifact identification in photoacoustic imaging using multi-wavelength 
excitation”.</div>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&#39;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