Reconstruction Algorithms for Parallel-Beam Computed Laminography

Synchrotron radiation computed laminography (CL) was developed to complement conventional computed tomography as a non-destructive three-dimensional imaging method for the inspection of flat laterally extended objects. Recent progress in hardware at synchrotron sources allows one to record internal evolution of specimens at the micrometer scale and sub-second range but also requires increased reconstruction speed to follow structural changes on-line. This book describes computationally efficient reconstruction methods adapted to the CL acquisition geometry. From the Fourier slice theorem we derive a framework for analytic image reconstruction and outline implementation details of the reconstruction routines in spatial and Fourier domains. Different approaches reducing the reconstruction time by means of parallel and distributed computations are considered and evaluated.

Autorentext

Alexey Voropaev received the Dipl.Ing. degree in software development in 2007 from the Pacific National University (Russia). He received the M.S.degree in computer science in 2009 from the Saarland University (Germany). His current research interests include algorithms for non-destructive testing, information retrieval, and software development.