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Publication Detail
Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography
Abstract
We present a method for the recovery of compressively sensed acoustic fields using patterned, instead of point-by-point, detection. From a limited number of such compressed measurements, we propose to reconstruct the field on the sensor plane in each time step independently assuming its sparsity in a Curvelet frame. A modification of the Curvelet frame is proposed to account for the smoothing effects of data acquisition and motivated by a frequency domain model for photoacoustic tomography. An ADMM type algorithm, split augmented Lagrangian shrinkage algorithm, is used to recover the pointwise data in each individual time step from the patterned measurements. For photoacoustic applications, the photoacoustic image of the initial pressure is reconstructed using time reversal in k-Wave Toolbox.
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Dept of Computer Science
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Dept of Med Phys & Biomedical Eng
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Dept of Computer Science
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Dept of Med Phys & Biomedical Eng
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Dept of Med Phys & Biomedical Eng
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Dept of Med Phys & Biomedical Eng
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