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Efficient volume reconstruction for parallel-beam computed laminography by filtered backprojection on multi-core

Anton Myagotin, Alexey Voropaev, Lukas Helfen

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |November 15, 2013
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    Summary

    Computed laminography (CL) offers high-resolution X-ray imaging for flat specimens. This study presents an efficient filtered backprojection (FBP) method for CL image reconstruction, improving computational speed.

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    Area of Science:

    • X-ray imaging
    • Computed laminography
    • Image reconstruction

    Background:

    • Computed laminography (CL) utilizes synchrotron X-rays for high-resolution internal structure imaging.
    • CL acquisition geometry differs from computed tomography (CT), offering uniform intensity for extended objects.

    Purpose of the Study:

    • To develop a computationally efficient reconstruction procedure for computed laminography.
    • To adapt the filtered backprojection (FBP) algorithm for CL acquisition geometry.

    Main Methods:

    • Derivation of an analytic image reconstruction framework from the Fourier slice theorem.
    • Implementation of a generic filtered backprojection (FBP) algorithm tailored for CL.
    • Evaluation of parallel and distributed computation approaches to reduce reconstruction time.

    Main Results:

    • A computationally efficient FBP-based reconstruction procedure for CL was developed.
    • The study outlines implementation details for analytic image reconstruction in CL.
    • Various parallel and distributed computation strategies were considered for optimizing reconstruction speed.

    Conclusions:

    • The presented FBP method provides an efficient approach for CL image reconstruction.
    • The findings contribute to advancing high-resolution imaging techniques for flat specimens.
    • Further optimization through parallel and distributed computing is feasible for CL reconstruction.