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<https://discovery.ucl.ac.uk/id/eprint/10065248> <http://purl.org/ontology/bibo/abstract> "A crucial limitation of current high-resolution 3D photoacoustic tomography (PAT) devices that\r\nemploy sequential scanning is their long acquisition time. In previous work, we demonstrated how\r\nto use compressed sensing techniques to improve upon this: images with good spatial resolution and\r\ncontrast can be obtained from suitably subsampled PAT data acquired by novel acoustic scanning\r\nsystems if sparsity-constrained image reconstruction techniques such as total variation regularization\r\nare used. Now, we show how a further increase of image quality can be achieved for imaging\r\ndynamic processes in living tissue (4D PAT). The key idea is to exploit the additional temporal\r\nredundancy of the data by coupling the previously used spatial image reconstruction models with\r\nsparsity-constrained motion estimation models. While simulated data from a 2D numerical phantom\r\nwill be used to illustrate the main properties of this recently developed joint-image-reconstructionand-motion-estimation framework, measured data from a dynamic experimental phantom will also\r\nbe used to demonstrate its potential for challenging, large-scale, real-world, 3D scenarios. The\r\nlatter only becomes feasible if a carefully designed combination of tailored optimization schemes is\r\nemployed, which we describe and examine in more detail."^^<http://www.w3.org/2001/XMLSchema#string> .
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