Schematic experimental setup for PAT imaging.
Photoacoustic signal processing comparison with the two different algorithms: (a) A typical photoacoustic signal containing white noise; (b) and (c) the photoacoustic signal filtered with Hilbert filter gene and combination wavelet; (d) and (e) the reconstructed signals with Hilbert filter gene and combination wavelet after backprojection.
PAT imaging of simulated breast tumor tissue: (a) and (b) the reconstruction PAT image by FBP algorithm with Hilbert filter and by wavelet-based mFBP algorithm.
PAT imaging of CAM in situ on the condition of strong background noise: (a) The photograph of the sample; (b) and (c) the reconstruction PAT image by FBP algorithm with RL filter and by wavelet-based mFBP algorithm.
One-dimensional reconstructed profile including three blood vessels at position of the image Fig. 4(c): (a) the reconstructed profile and (b) the enlarged profile of a blood vessel marked in Fig. 5(a).
PAT imaging of a rat brain in vivo with the skull and scalp intact: (a) Open-skull photograph of the rat brain after the PAT experiment; (b) and (c) the reconstructed PAT image of the detailed structures of the rat brain organization by FBP algorithm with RL filter and by wavelet-based mFBP algorithm: BV: blood vessel; CB: cerebellum; FTC: fissura transversa cerebri; MCA: middle cerebral artery; RH: right hemisphere; LH: left hemisphere.
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