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Non-local means improves total-variation constrained photoacoustic image reconstruction.

Phaneendra K YalavarthySandeep Kumar KalvaManojit PramanikJaya Prakash
Published in: Journal of biophotonics (2020)
Photoacoustic/Optoacoustic tomography aims to reconstruct maps of the initial pressure rise induced by the absorption of light pulses in tissue. This reconstruction is an ill-conditioned and under-determined problem, when the data acquisition protocol involves limited detection positions. The aim of the work is to develop an inversion method which integrates denoising procedure within the iterative model-based reconstruction to improve quantitative performance of optoacoustic imaging. Among the model-based schemes, total-variation (TV) constrained reconstruction scheme is a popular approach. In this work, a two-step approach was proposed for improving the TV constrained optoacoustic inversion by adding a non-local means based filtering step within each TV iteration. Compared to TV-based reconstruction, inclusion of this non-local means step resulted in signal-to-noise ratio improvement of 2.5 dB in the reconstructed optoacoustic images.
Keyphrases
  • high resolution
  • deep learning
  • randomized controlled trial
  • fluorescence imaging
  • computed tomography
  • magnetic resonance imaging
  • mass spectrometry
  • photodynamic therapy
  • image quality