D. Schneberk - Academia.edu (original) (raw)
Papers by D. Schneberk
Presented at the Information Crossroads of the 80 S Washington D C 8 Sep 1985, Jul 1, 1985
2010 17th IEEE-NPSS Real Time Conference, 2010
Computed Tomography is a non-destructive technique for which the object volume is reconstructed f... more Computed Tomography is a non-destructive technique for which the object volume is reconstructed from a large series of radiographs acquired at different angles. Information can be retrieved as 2D cross section images allowing the inspection and the classification of the object; moreover, by processing tomographic data, a 3D numerical model of the full-volume sample can be obtained for virtual reality
High energy X-rays and neutrons can provide 3-D volumetric views of large objects made of multipl... more High energy X-rays and neutrons can provide 3-D volumetric views of large objects made of multiple materials. Lenscoupled computed tomography using a scintillator imaged on a CCD camera obtains high spatial resolution, while a surface-mounted segmented scintillator on an amorphous silicon (A-Si) array can provide high throughput. For MeV Xray CT, a new polycrystalline transparent ceramic scintillator referred to as “GLO” offers excellent stopping power and light yield for improved contrast in sizes up to a 12” field-of-view. For MeV neutron CT, we have fabricated both contiguous and segmented plates of “Hi-LY” plastic scintillator, offering light yields 3x higher than standard plastic.
IEEE Transactions on Nuclear Science, 2000
Propellants, Explosives, Pyrotechnics, 2006
Pin and X-ray corner turning data have been taken on ambient LX-17 and PBX 9052, and the results ... more Pin and X-ray corner turning data have been taken on ambient LX-17 and PBX 9052, and the results are listed in tables as an aid to future modeling. The results have been modeled at 4 zones/mm with a reactive flow approach that varies the burn rate as a function of ...
NDT & E International, 1992
Insight - Non-Destructive Testing and Condition Monitoring, 2008
ABSTRACT Computed Tomography (CT) has been extensively used in industrial inspection, however, pr... more ABSTRACT Computed Tomography (CT) has been extensively used in industrial inspection, however, production applications have been few, due to the time required for performing CT. This paper describes a high-throughput, production X-ray CT system for inspecting munitions. Various types of defects such as cracks, voids, fuse armed status, and powder fll level are identifed and evaluated. Automatic defect recognition algorithms and software have been developed to inspect the CT data, due to the large amount of data involved, and high throughput required.
The Journal of the Acoustical Society of America, 1996
International Journal of Radiation Applications and Instrumentation. Part A. Applied Radiation and Isotopes, 1990
Advanced Algorithms and Architectures for Signal Processing III, 1988
ABSTRACT The Systolic Processor with a Reconfigurable Interconnection Network of Transputers (SPR... more ABSTRACT The Systolic Processor with a Reconfigurable Interconnection Network of Transputers (SPRINT) is a sixty-four-element multiprocessor developed at Lawrence Livermore National Laboratory to evaluate systolic algorithms and architectures experimentally. The processors are interconnected in a reconfigurable network which can emulate networks such as the two-dimensional mesh, the triangular mesh, the tree, and the shuffle-exchange network. New systolic algorithms and architectures are described which perform the Radon transform and inverse Radon transform with efficiency arbitrarily close to 100%. High efficiency is possible with any connected network topology, even with low communication bandwidth. The results of the algorithms executed on the SPRINT compare closely with theory. 8 refs., 5 figs.
Nondestructive Characterization of Materials IV, 1991
This report documents some cooperative research into volumetric image reconstruction from single ... more This report documents some cooperative research into volumetric image reconstruction from single radiographs. Imaging dynamic events is the most important application for this type of work, but the techniques have possible extensions. Two general objectives guide this work. The first objective is to gain an understanding of the assumptions and limitations of single-view methods for representing internal features. Second, we endeavor to obtain and/or develop techniques for performing image reconstructions with FXR radiographs. If possible, we seek to obtain some quantitative measure of the accuracy of this class of image reconstructions in two respects: (i) in terms of the dimensional accuracy of feature boundaries, and (ii) as pertains to the accuracy of the voxel intensities. Dynamic events are not always self-calibrating, and it is important to establish the reconstruction accuracy of single-view methods for placing bounds on the kinds of conclusions which can be advanced from single-view reconstructed images. Computed tomographic image reconstructions provide dimensional detail of internal structures of objects and provide a measure of the per-voxel attenuation of material in the object. When assumptions behind a reconstruction algorithm are not satisfied, or are satisfied in a limited way, the accuracy of the reconstructed image is compromised. It is the goal of Cr analysis to discern the {open_quotes}real{close_quotes} features of the internals of an object in the midst of a certain level of artifactual content in the image. By understanding the ways in which CT reconstructions from a single radiograph can produce misleading results we hope to develop some measure of the benefits and limitations of single view techniques. 31 refs., 20 figs.
IEEE Conference on Nuclear Science Symposium and Medical Imaging, 2000
A class of hybrid domain-iterative algorithms for 2-D image reconstruction is described. The cons... more A class of hybrid domain-iterative algorithms for 2-D image reconstruction is described. The consistent iterative reconstruction-reprojection (CIRR) algorithm was designed and implemented along with other classical domain-iterative methods. The algorithms are tested on the hollow projections problem, where simple object models are assumed known. Results show that the CIRR algorithm is robust and accurate, and converges quickly
Presented at the Information Crossroads of the 80 S Washington D C 8 Sep 1985, Jul 1, 1985
2010 17th IEEE-NPSS Real Time Conference, 2010
Computed Tomography is a non-destructive technique for which the object volume is reconstructed f... more Computed Tomography is a non-destructive technique for which the object volume is reconstructed from a large series of radiographs acquired at different angles. Information can be retrieved as 2D cross section images allowing the inspection and the classification of the object; moreover, by processing tomographic data, a 3D numerical model of the full-volume sample can be obtained for virtual reality
High energy X-rays and neutrons can provide 3-D volumetric views of large objects made of multipl... more High energy X-rays and neutrons can provide 3-D volumetric views of large objects made of multiple materials. Lenscoupled computed tomography using a scintillator imaged on a CCD camera obtains high spatial resolution, while a surface-mounted segmented scintillator on an amorphous silicon (A-Si) array can provide high throughput. For MeV Xray CT, a new polycrystalline transparent ceramic scintillator referred to as “GLO” offers excellent stopping power and light yield for improved contrast in sizes up to a 12” field-of-view. For MeV neutron CT, we have fabricated both contiguous and segmented plates of “Hi-LY” plastic scintillator, offering light yields 3x higher than standard plastic.
IEEE Transactions on Nuclear Science, 2000
Propellants, Explosives, Pyrotechnics, 2006
Pin and X-ray corner turning data have been taken on ambient LX-17 and PBX 9052, and the results ... more Pin and X-ray corner turning data have been taken on ambient LX-17 and PBX 9052, and the results are listed in tables as an aid to future modeling. The results have been modeled at 4 zones/mm with a reactive flow approach that varies the burn rate as a function of ...
NDT & E International, 1992
Insight - Non-Destructive Testing and Condition Monitoring, 2008
ABSTRACT Computed Tomography (CT) has been extensively used in industrial inspection, however, pr... more ABSTRACT Computed Tomography (CT) has been extensively used in industrial inspection, however, production applications have been few, due to the time required for performing CT. This paper describes a high-throughput, production X-ray CT system for inspecting munitions. Various types of defects such as cracks, voids, fuse armed status, and powder fll level are identifed and evaluated. Automatic defect recognition algorithms and software have been developed to inspect the CT data, due to the large amount of data involved, and high throughput required.
The Journal of the Acoustical Society of America, 1996
International Journal of Radiation Applications and Instrumentation. Part A. Applied Radiation and Isotopes, 1990
Advanced Algorithms and Architectures for Signal Processing III, 1988
ABSTRACT The Systolic Processor with a Reconfigurable Interconnection Network of Transputers (SPR... more ABSTRACT The Systolic Processor with a Reconfigurable Interconnection Network of Transputers (SPRINT) is a sixty-four-element multiprocessor developed at Lawrence Livermore National Laboratory to evaluate systolic algorithms and architectures experimentally. The processors are interconnected in a reconfigurable network which can emulate networks such as the two-dimensional mesh, the triangular mesh, the tree, and the shuffle-exchange network. New systolic algorithms and architectures are described which perform the Radon transform and inverse Radon transform with efficiency arbitrarily close to 100%. High efficiency is possible with any connected network topology, even with low communication bandwidth. The results of the algorithms executed on the SPRINT compare closely with theory. 8 refs., 5 figs.
Nondestructive Characterization of Materials IV, 1991
This report documents some cooperative research into volumetric image reconstruction from single ... more This report documents some cooperative research into volumetric image reconstruction from single radiographs. Imaging dynamic events is the most important application for this type of work, but the techniques have possible extensions. Two general objectives guide this work. The first objective is to gain an understanding of the assumptions and limitations of single-view methods for representing internal features. Second, we endeavor to obtain and/or develop techniques for performing image reconstructions with FXR radiographs. If possible, we seek to obtain some quantitative measure of the accuracy of this class of image reconstructions in two respects: (i) in terms of the dimensional accuracy of feature boundaries, and (ii) as pertains to the accuracy of the voxel intensities. Dynamic events are not always self-calibrating, and it is important to establish the reconstruction accuracy of single-view methods for placing bounds on the kinds of conclusions which can be advanced from single-view reconstructed images. Computed tomographic image reconstructions provide dimensional detail of internal structures of objects and provide a measure of the per-voxel attenuation of material in the object. When assumptions behind a reconstruction algorithm are not satisfied, or are satisfied in a limited way, the accuracy of the reconstructed image is compromised. It is the goal of Cr analysis to discern the {open_quotes}real{close_quotes} features of the internals of an object in the midst of a certain level of artifactual content in the image. By understanding the ways in which CT reconstructions from a single radiograph can produce misleading results we hope to develop some measure of the benefits and limitations of single view techniques. 31 refs., 20 figs.
IEEE Conference on Nuclear Science Symposium and Medical Imaging, 2000
A class of hybrid domain-iterative algorithms for 2-D image reconstruction is described. The cons... more A class of hybrid domain-iterative algorithms for 2-D image reconstruction is described. The consistent iterative reconstruction-reprojection (CIRR) algorithm was designed and implemented along with other classical domain-iterative methods. The algorithms are tested on the hollow projections problem, where simple object models are assumed known. Results show that the CIRR algorithm is robust and accurate, and converges quickly