Abstract
A new photoacoustic (PA) signal sampling and image reconstruction method,
called compressive sampling PA tomography (CSPAT), is recently proposed to make low
sampling rate and high-resolution PA tomography possible. A key problem within the
CSPAT framework is the design of optic masks. We propose to use edge expander
codes-based masks instead of the conventional random distribution masks, and
efficient total variation (TV) regularization-based model to formulate the
associated problem. The edge expander codes-based masks, corresponding to
non-uniform sampling schemes, are validated by both theoretical analysis and results
from computer simulations. The proposed method is expected to enhance the capability
of CSPAT for reducing the number of measurements and fast data acquisition.
© 2014 Chinese Optics Letters
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