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Design, implementation, and analysis of a compressed sensing photoacoustic projection imaging system.

Markus HaltmeierMatthias YeKaroline FelbermayerFlorian HinterleitnerPeter Burgholzer
Published in: Journal of biomedical optics (2024)
CS with proven sparse recovery capabilities can be integrated into PAPI, and numerical results support this setup. Future work will focus on applying it to experimental data and utilizing data-driven approaches to enhance the compression factor and generalize the signal class.
Keyphrases
  • high resolution
  • primary care
  • fluorescence imaging
  • electronic health record
  • healthcare
  • current status
  • big data
  • quality improvement
  • artificial intelligence