Real-time quasi-3D tomographic reconstruction

Developments in acquisition technology and a growing need for time-resolved experiments pose great computational challenges in tomography. In addition, access to reconstructions in real time is a highly demanded feature but has so far been out of reach. We show that by exploiting the mathematical properties of filtered backprojection-type methods, having access to real-time reconstructions of arbitrarily oriented slices becomes feasible. Furthermore, we present , software for visualization and on-demand reconstruction of slices. A user of can interactively shift and rotate slices in a GUI, while the software updates the slice in real time. For certain use cases, the possibility to study arbitrarily oriented slices in real time directly from the measured data provides sufficient visual and quantitative insight. Two such applications are discussed in this article.

[1]  M. De Graef,et al.  The Three-Dimensional Morphology of Growing Dendrites , 2015, Scientific Reports.

[2]  M. Stampanoni,et al.  Regridding reconstruction algorithm for real-time tomographic imaging , 2012, Journal of synchrotron radiation.

[3]  Jan Sijbers,et al.  Fast and flexible X-ray tomography using the ASTRA toolbox. , 2016, Optics express.

[4]  William R B Lionheart,et al.  High speed imaging of dynamic processes with a switched source x-ray CT system , 2015 .

[5]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[6]  Jan Bill,et al.  DendroCT – Dendrochronology without damage , 2012 .

[7]  Philip J. Withers,et al.  Towards in-process x-ray CT for dimensional metrology , 2016 .

[8]  Xianghui Xiao,et al.  In situ X-ray synchrotron tomographic imaging during the compression of hyper-elastic polymeric materials , 2015, Journal of Materials Science.

[9]  Lisa Axe,et al.  Developments in synchrotron x-ray computed microtomography at the National Synchrotron Light Source , 1999, Optics & Photonics.

[10]  Jan Sijbers,et al.  A distributed ASTRA toolbox , 2016, Advanced Structural and Chemical Imaging.

[11]  Prabhat Munshi,et al.  Characteristic Signature of Specimen Using an Approximate Formula for 3D Circular Cone-Beam Tomography , 2011 .

[12]  Frank Natterer,et al.  Mathematical methods in image reconstruction , 2001, SIAM monographs on mathematical modeling and computation.

[13]  A. Katsevich A GENERAL SCHEME FOR CONSTRUCTING INVERSION ALGORITHMS FOR CONE BEAM CT , 2003 .

[14]  Wei Xu,et al.  High-performance iterative electron tomography reconstruction with long-object compensation using graphics processing units (GPUs). , 2010, Journal of structural biology.

[15]  K J Batenburg,et al.  Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs). , 2011, Journal of structural biology.

[16]  Tilo Baumbach,et al.  X-ray phase-contrast in vivo microtomography probes new aspects of Xenopus gastrulation , 2013, Nature.

[17]  Marcus Carlsson,et al.  Fast hyperbolic Radon transform represented as convolutions in log-polar coordinates , 2016, Comput. Geosci..

[18]  Alexander Katsevich,et al.  Theoretically Exact Filtered Backprojection-Type Inversion Algorithm for Spiral CT , 2002, SIAM J. Appl. Math..

[19]  Bernadette N. Hahn,et al.  Combined reconstruction and edge detection in dimensioning , 2013 .