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- W2055218946 abstract "A photoacoustic tomography (PAT) method that employs a sparse two-dimentional (2D) array of detectorelements has recently been employed to reconstruct images of simple objects from highly incomplete measurementdata. However, there remains an important need to understand what type of object features can be reliablyreconstructed from such a system. In this work, we numerically compute the singular value decomposition(SVD) of different system matrices that are relevant to implementations of sparse-array PAT. For a given numberand arrangement of measurement transducers, this will reveal the type of object features that can reliably bereconstructed as well as those that are invisible to the imaging system." @default.
- W2055218946 created "2016-06-24" @default.
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- W2055218946 date "2010-02-11" @default.
- W2055218946 modified "2023-09-23" @default.
- W2055218946 title "Characterization of sparse-array detection photoacoustic tomography using the singular value decomposition" @default.
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- W2055218946 doi "https://doi.org/10.1117/12.842663" @default.
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