Abstract
Photoacoustic imaging provides high spatial resolution images of biological tissues and is useful for molecular imaging. The exact reconstruction algorithms for photoacoustic imaging are either slow or assume a continuous sensor with infinite bandwidth. We propose a novel reconstruction method which expands the source distribution function in the Fourier-Bessel domain. The source distribution can be reconstructed from frequency samples corresponding to the Bessel zeros. Sparsity of the source distribution in the Fourier-Bessel domain makes reconstruction faster. Further, this method was extended to the discrete aperture and a condition was derived to avoid spatial aliasing. The proposed method was verified using numerical simulations.
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