Artifacts in photoacoustic imaging: Origins and mitigations

Photoacoustic imaging (PAI) is rapidly moving from the laboratory to the clinic, increasing the need to understand confounders which might adversely affect patient care. Over the past five years, landmark studies have shown the clinical utility of PAI, leading to regulatory approval of several devices. In this article, we describe the various causes of artifacts in PAI, providing schematic overviews and practical examples, simulated as well as experimental. This work serves two purposes: (1) educating clinical users to identify artifacts, understand their causes, and assess their impact, and (2) providing a reference of the limitations of current systems for those working to improve them. We explain how two aspects of PAI systems lead to artifacts: their inability to measure complete data sets, and embedded assumptions during reconstruction. We describe the physics underlying PAI, and propose a classification of the artifacts. The paper concludes by discussing possible advanced mitigation strategies.

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Publication Details

Journal
Photoacoustics
Published
2025-07-05
DOI
https://doi.org/10.1016/j.pacs.2025.100745
Citations
7
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
4.72

Funders

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article

Artifacts in photoacoustic imaging: Origins and mitigations

Ben Cox, Srirang Manohar, Max Tigo Rietberg, Thomas R. Else et al.
7 citations
Photoacoustics
Photoacoustic and Ultrasonic Imaging
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article

Artifacts in photoacoustic imaging: Origins and mitigations

Ben Cox, Srirang Manohar, Max Tigo Rietberg, Thomas R. Else, Sarah E. Bohndiek, Janek Gröhl
article en
7 citations

Abstract

Photoacoustic imaging (PAI) is rapidly moving from the laboratory to the clinic, increasing the need to understand confounders which might adversely affect patient care. Over the past five years, landmark studies have shown the clinical utility of PAI, leading to regulatory approval of several devices. In this article, we describe the various causes of artifacts in PAI, providing schematic overviews and practical examples, simulated as well as experimental. This work serves two purposes: (1) educating clinical users to identify artifacts, understand their causes, and assess their impact, and (2) providing a reference of the limitations of current systems for those working to improve them. We explain how two aspects of PAI systems lead to artifacts: their inability to measure complete data sets, and embedded assumptions during reconstruction. We describe the physics underlying PAI, and propose a classification of the artifacts. The paper concludes by discussing possible advanced mitigation strategies.

PhotoacousticsVol. 45
University of Cambridge (GB), Cancer Research UK (GB), Cancer Research UK Cambridge Center (GB), European Neuroscience Institute Göttingen (DE), Max Planck Institute of Experimental Medicine (DE), University College London (GB), University of Twente (NL)
Kurt Weill Foundation for Music, Cancer Research UK, Deutsche Forschungsgemeinschaft, Engineering and Physical Sciences Research Council, Techmed Centre, University of Twente, Cancer Research UK Cambridge Institute, University of Cambridge
Climate action
Openalex Percentile: Top 5%
Photoacoustic and Ultrasonic Imaging
4.72
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