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Accelerated photoacoustic imaging

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If you have a question about this talk, please contact Matthias J. Ehrhardt.

In photoacoustic imaging, as in many high resolution modalities, the major bottle neck is the acquisition time of finely spatially sampled data. In this talk we are going to discuss variational methods for photoacoustic imaging and their particular realisation in the framework of k-space pseudo-spectral methods. Our framework is general enough to accommodate different approaches to acceleration such as subsampling or compressed sensing which allow us to collect considerably fewer measurements while maintaining good quality of the reconstruction. We will present results for both scenarios and total variation regularization.

joint work with Felix Lucka, Nam Huynh, Ben Cox, Edward Zhang, Bradley Treeby, Paul Beard and Simon Arridge

This talk is part of the Cambridge Image Analysis Seminars series.

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