Development and Characterization of a High-Energy Neutron Time-of-Flight Imaging System

Madden, Amanda; Schirato, R.; Swift, Alicia L.; Cutler, Theresa; Mayo, Douglas R.; Hunter, James F.

doi:10.1109/tns.2017.2655263

Cited by 5 publications

(2 citation statements)

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“…The TOF camera system can provide scattering rejection in neutron imaging, as well as energy-selective images as shown here. Further details of this system are given in References [80,81]. …”

Section: High-energy Neutron Time-of-flight Imaging System Resultsmentioning

confidence: 99%

Neutron Imaging at LANSCE—From Cold to Ultrafast

et al. 2018

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(Lujan center), Flight Path 5 beam line and continues to be refined. Applications include: imaging of metallic and ceramic nuclear fuels, fission gas measurements, tomography of fossils and studies of dopants in scintillators. The technique provides the ability to characterize materials opaque to thermal neutrons and to utilize neutron resonance analysis codes to quantify isotopes to within 0.1 atom %. The latter also allows measuring fuel enrichment levels or the pressure of fission gas remotely. More recently, the cold neutron spectrum at the ASTERIX beam line, also located at Target 1, was used to demonstrate phase contrast imaging with pulsed neutrons. This extends the capabilities for imaging of thin and transparent materials at LANSCE. In contrast, high-energy neutron imaging at LANSCE, using unmoderated fast spallation neutrons from Target 4 [Weapons Neutron Research (WNR) facility] has been developed for applications in imaging of dense, thick objects. Using fast (ns), time-of-flight imaging, enables testing and developing imaging at specific, selected MeV neutron energies. The 4FP-60R beam line has been reconfigured with increased shielding and new, larger collimation dedicated to fast neutron imaging. The exploration of ways in which pulsed neutron beams and the time-of-flight method can provide additional benefits is continuing. We will describe the facilities and instruments, present application examples and recent results of all these efforts at LANSCE.

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Section: High-energy Neutron Time-of-flight Imaging System Resultsmentioning

confidence: 99%

Neutron Imaging at LANSCE—From Cold to Ultrafast

et al. 2018

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“…The NRF is equipped with a scintillator sensor, a reflector mirror, and a CCD camera for digital data acquisition. To obtain images from NRF, the neutron beam is converted to a visible light sing a scintillating screen sensor [4,5]; then, the image of . detail, and potentially results in failure of further evaluations, especially in 2D and 3D tomographic reconstruction.…”

Section: Multipurposementioning

confidence: 99%

A Novel Technique for Removal of High Density White Spot Noise from Digital Neutron Radiographic Images

2018

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This paper proposes a novel technique of adaptive switching alternative median (ASAM) filter for high-density white spot noise removal. The ASAM filter is composed of two blocks filtering, namely main and secondary block filtering, respectively. The proposed secondary block filtering is a new technique in highdensity impulse noise removal and the main contribution of this research. The ASAM algorithm was tested on the standard 8-bit gray-scale, 512×512 pixel Lena image and a real neutron radiographic image. The results showed significant reduction of white spot noise in both types of images through visual inspection. To measure the performance of noise removal in simulation test we measured the peak signal-to-noise ratio (PSNR), structural similarity (SSIM) index, and denoising time, and in real application tests we measured signal-to-noise ratio (SNR). From the experiments of simulation test, at the highest level noise of 95 % the obtained PSNR and SSIM are 23.584 dB and 0.696 respectively. These are higher than the results of other algorithms that are 16.697 dB and 0.475, respectively, for DBA, 16.696 dB and 0.408 for NAFSM, and 18.860 dB and 0.568 for NASNLM. The denoising times for DBA, NAFSM, NASNLM, and ASAM were obtained as 6.469 s, 5.186 s, 36.735 s, and 5.197 s respectively. From the experiments of real application test we obtained the SNR for DBA, NAFSM, NASNLM, and ASAM as 32.42 dB, 6.01 dB, 18.77 dB, and 32.96 dB, respectively. In general, these results show that ASAM filter is superior to the existing filtering methods. The ASAM filter improved the image restoration quality, especially in removing the highdensity white spot noise, and was able to yield good filtering result which exhibits better PSNR, SSIM, denoising time, and qualitative visual inspection.

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