Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image Versus Data Domain

Curvelet frame is of special significance for photoacoustic tomography (PAT) due to its sparsifying and microlocalisation properties. We derive a one-to-one map between wavefront directions in image and data spaces in PAT which suggests near equivalence between the recovery of the initial pressure a...

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Veröffentlicht in:	IEEE transactions on computational imaging 2021, Vol.7, p.879-893
Hauptverfasser:	Pan, Bolin, Arridge, Simon R., Lucka, Felix, Cox, Ben T., Huynh, Nam, Beard, Paul C., Zhang, Edward Z., Betcke, Marta M.
Format:	Artikel
Sprache:	eng
Schlagworte:	<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> ell _1</tex-math> </inline-formula> minimization ADMM methods Algorithms compressed sensing curvelet frame Detectors Equivalence Image reconstruction Imaging Initial pressure Photoacoustic effect photoacoustic tomography Sparsity Spatial resolution Three-dimensional displays Tomography Transformations (mathematics) Transforms Wave fronts
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