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Updated: Jun 12, 2026

Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

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Physics-driven deep learning photoacoustic tomography

Kang Shen1,2,3, Kuo Niu3, Songde Liu1,3

  • 1Department of Anesthesia, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.

Fundamental Research
|June 11, 2026
PubMed
Summary

Photoacoustic tomography (PAT) image reconstruction is improved using a novel deep learning framework (dFBP). This physics-driven approach enhances image quality and accuracy, even with incomplete data, offering a practical solution for biomedical imaging.

Keywords:
Deep learningFiltered back projectionImage reconstructionIncomplete projectionsPhotoacoustic tomography

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