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    Multi-resolution inversion algorithm for the attenuated radon transform

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    Type
    Conference Paper
    Authors
    Barbano, Paolo Emilio
    Fokas, Athanasios S.
    Date
    2011-09
    Permanent link to this record
    http://hdl.handle.net/10754/598900
    
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    Abstract
    We present a FAST implementation of the Inverse Attenuated Radon Transform which incorporates accurate collimator response, as well as artifact rejection due to statistical noise and data corruption. This new reconstruction procedure is performed by combining a memory-efficient implementation of the analytical inversion formula (AIF [1], [2]) with a wavelet-based version of a recently discovered regularization technique [3]. The paper introduces all the main aspects of the new AIF, as well numerical experiments on real and simulated data. Those display a substantial improvement in reconstruction quality when compared to linear or iterative algorithms. © 2011 IEEE.
    Citation
    Barbano PE, Fokas AS (2011) Multi-resolution inversion algorithm for the attenuated radon transform. 2011 IEEE International Workshop on Machine Learning for Signal Processing. Available: http://dx.doi.org/10.1109/mlsp.2011.6064632.
    Sponsors
    This work was partially funded by KAUST and EPSRC. PEB was also sponsored by the Chinese Academy of Sciences.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2011 IEEE International Workshop on Machine Learning for Signal Processing
    DOI
    10.1109/mlsp.2011.6064632
    ae974a485f413a2113503eed53cd6c53
    10.1109/mlsp.2011.6064632
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