A novel reconstruction technique for two-dimensional Bragg scatter imaging

Here we introduce a new reconstruction technique for two-dimensional Bragg Scattering Tomography (BST), based on the Radon transform models of [arXiv preprint, arXiv:2004.10961 (2020)]. Our method uses a combination of ideas from multibang control and microlocal analysis to construct an objective function which can regularize the BST artifacts; specifically the boundary artifacts due to sharp cutoff in sinogram space (as observed in [arXiv preprint, arXiv:2007.00208 (2020)]), and artifacts arising from approximations made in constructing the model used for inversion. We then test our algorithm in a variety of Monte Carlo (MC) simulated examples of practical interest in airport baggage screening and threat detection. The data used in our studies is generated with a novel Monte-Carlo code presented here. The model, which is available from the authors upon request, captures both the Bragg scatter effects described by BST as well as beam attenuation and Compton scatter.

[1]  Eric Todd Quinto,et al.  Microlocal Analysis of Generalized Radon Transforms from Scattering Tomography , 2021, SIAM J. Imaging Sci..

[2]  James W. Webber,et al.  Bragg scattering tomography , 2020, Inverse Problems & Imaging.

[3]  Eric L. Miller,et al.  A joint reconstruction and lambda tomography regularization technique for energy-resolved x-ray imaging , 2020, Inverse Problems.

[4]  O. Öktem,et al.  Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realm , 2019, Proceedings of the Royal Society A.

[5]  Mark D. Plumbley,et al.  Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements , 2018, IEEE Transactions on Signal Processing.

[6]  Bernadette N. Hahn,et al.  3D Compton scattering imaging and contour reconstruction for a class of Radon transforms , 2018 .

[7]  Eric Todd Quinto,et al.  Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data , 2017, SIAM J. Imaging Sci..

[8]  K. Kunisch,et al.  Total variation regularization of multi-material topology optimization , 2017, 1708.06165.

[9]  K. Kunisch,et al.  A convex analysis approach to multi-material topology optimization. , 2016, 1702.07525.

[10]  Mehadi Hassan,et al.  Snapshot fan beam coded aperture coherent scatter tomography. , 2016, Optics express.

[11]  Mai K. Nguyen,et al.  New properties of the V-line Radon transform and their imaging applications , 2015 .

[12]  Allan Hanbury,et al.  Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool , 2015, BMC Medical Imaging.

[13]  David J. Brady,et al.  Optimization of a coded aperture coherent scatter spectral imaging system for medical imaging , 2015, Medical Imaging.

[14]  Chang-Yeol Jung,et al.  Inversion formulas for cone transforms arising in application of Compton cameras , 2015 .

[15]  Cheng Zhu,et al.  Theoretical study of damage accommodation in salt subject to viscous fatigue , 2015 .

[16]  David Atkinson,et al.  Joint reconstruction of PET-MRI by exploiting structural similarity , 2014, Inverse Problems.

[17]  Karl Kunisch,et al.  Multi-bang control of elliptic systems , 2014 .

[18]  Paul Seller,et al.  Dark-field hyperspectral X-ray imaging , 2014, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[19]  Kalyani Krishnamurthy,et al.  Structured illumination for tomographic X-ray diffraction imaging. , 2014, The Analyst.

[20]  Dirk A. Lorenz,et al.  Sparsity and Compressed Sensing in Inverse Problems , 2014 .

[21]  Eric Todd Quinto,et al.  Characterization and reduction of artifacts in limited angle tomography , 2013 .

[22]  D. Brady,et al.  Snapshot molecular imaging using coded energy-sensitive detection. , 2013, Optics express.

[23]  David J. Brady,et al.  Coding and sampling for compressive x-ray diffraction tomography , 2013, Optics & Photonics - Optical Engineering + Applications.

[24]  Alfred K. Louis,et al.  Novel numerical inversions of two circular-arc radon transforms in Compton scattering tomography , 2012 .

[25]  Ehsan Samei,et al.  Pencil beam coded aperture x-ray scatter imaging , 2012 .

[26]  V. Palamodov,et al.  An analytic reconstruction for the Compton scattering tomography in a plane , 2011 .

[27]  Shuqian Luo,et al.  A compressed sensing-based iterative algorithm for CT reconstruction and its possible application to phase contrast imaging , 2011, Biomedical engineering online.

[28]  Mai K. Nguyen,et al.  Inversion of a new circular-arc Radon transform for Compton scattering tomography , 2010 .

[29]  Habib Zaidi,et al.  The Mathematical Foundations of 3D Compton Scatter Emission Imaging , 2007, Int. J. Biomed. Imaging.

[30]  G. Langlet,et al.  International Tables for Crystallography , 2002 .

[31]  Jorge Nocedal,et al.  A Limited Memory Algorithm for Bound Constrained Optimization , 1995, SIAM J. Sci. Comput..

[32]  R. F. Bryan,et al.  International tables for crystallography. Vol. C. Mathematical, physical and chemical tables edited by A. J. C. Wilson , 1993 .

[33]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  J. H. Hubbell,et al.  Relativistic atomic form factors and photon coherent scattering cross sections , 1979 .

[35]  J. H. Hubbell,et al.  Atomic form factors, incoherent scattering functions, and photon scattering cross sections , 1975 .

[36]  John J. DeMarco,et al.  Effect of Scattering on the Attenuation of X-Rays. , 1971 .

[37]  O. Klein,et al.  Über die Streuung von Strahlung durch freie Elektronen nach der neuen relativistischen Quantendynamik von Dirac , 1929 .

[38]  O. Klein,et al.  The Scattering of Light by Free Electrons according to Dirac's New Relativistic Dynamics , 1928, Nature.

[39]  W. Bragg,et al.  The Reflection of X-Rays by Crystals , 1913, Nature.