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Published August 20, 2025 | Version v2.1

PhotIQA: A photoacoustic image data set with image quality ratings

  • 1. ROR icon University of Cambridge
  • 2. ROR icon Medical University of Vienna

Description

To support the development and testing of full- and no-reference IQA measures we assembled PhotIQA, a data set consisting of 1134 photoacoustic (PA) images reconstructed with 3 different algorithms and ratings by 2 experts across five quality properties (overall quality, edge visibility, homogeneity, inclusion and background intensity). To allow full-reference assessment, highly characterised imaging test objects were used, providing a ground truth. A detailed description of the data set can be found in [1], where also baseline experiments give first insights. 
 
We have decided to make the data set available to the research community under the Creative Commons Attribution 4.0 International license. If you use the data in your research, we kindly ask that you reference the repository and the corresponding paper
 
[1] A. Breger, J.Gröhl, C. Karner, T.R. Else, I. Selby, J. Weir-McCall, C.-B. Schönlieb: PhotIQA: A photoacoustic image data set with image quality ratings, preprint on arXiv: http://arxiv.org/abs/2507.03478, July 2025
 
Update v2.0 (July 7): quality ratings of more properties are available now, including edge visibility, object homogeneity, intensity (background), intensity (inclusions), overall quality
 
Update v2.1 (August 20): the z-scores of the raters have been added and updated for mos

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Additional details

Funding

Deutsche Forschungsgemeinschaft
GR 5824/1 GR 5824/1
FWF Austrian Science Fund
Image based Data Evaluation Analyses and Medical Application T 1307