Applying image analysis techniques to tomographic images of irradiated nuclear fuel assemblies

Davour, Anna; Svärd, Staffan Jacobsson; Andersson, Peter; Grape, Sophie; Holcombe, Scott; Jansson, Peter; Troeng, Mats

doi:10.1016/j.anucene.2016.05.024

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…Qualitative reconstruction methods are used to produce a visually interpretable image of the investigated fuel cross section, which may be used for (among other things) rod localization or for the verification of the presence of fuel rods in the investigated fuel (Davour A., 2016), (Davour, et al, 2015). These applications do not require highly accurate reconstruction of the spatial source distribution, and therefore idealizations in the methods may be implemented which maintain the qualitative information desired, while allowing for easier implementation and fast execution times in the reconstruction software.…”

Section: Quantitative Vs Qualitative Reconstructionmentioning

confidence: 99%

“…searching for the best fit of the reconstructed image with an image of the feature of known size and shape. The template matching procedure has been described earlier for localization of fuel rods in gamma emission tomography in (Davour A., 2016). In UPPREC, the rod positions are localized as follows:…”

Section: The Attenuation Response Matrix Generationmentioning

confidence: 99%

“…One methodological difference between the method used in UPPREC and the method described in (Davour A., 2016) can be noted. In (Davour A., 2016), the precision better than the pixel size is achieved by resampling the reconstructed image with interpolated values, while with UPPREC the polynomial fit is used as described above. The rod localization results from a 13 pin driver fuel are shown in Figure 5.…”

Section: The Attenuation Response Matrix Generationmentioning

confidence: 99%

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A computerized method (UPPREC) for quantitative analysis of irradiated nuclear fuel assemblies with gamma emission tomography at the Halden reactor

Andersson

Holcombe

2017

Annals of Nuclear Energy

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Section: Quantitative Vs Qualitative Reconstructionmentioning

confidence: 99%

Section: The Attenuation Response Matrix Generationmentioning

confidence: 99%

Section: The Attenuation Response Matrix Generationmentioning

confidence: 99%

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A computerized method (UPPREC) for quantitative analysis of irradiated nuclear fuel assemblies with gamma emission tomography at the Halden reactor

Andersson

Holcombe

2017

Annals of Nuclear Energy

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“…The research on PGET data analysis and image reconstruction methods has led to major improvements in image quality and helped in building trust on the method for safeguards verification of spent nuclear fuel. Other similar tomographic devices have been developed around the world, for example the YSECT device in Korea 14 as well as the PLUTO device in Sweden 15 , 16 .…”

Section: Introductionmentioning

confidence: 99%

In-air and in-water performance comparison of Passive Gamma Emission Tomography with activated Co-60 rods

Virta,

Bubba,

Moring

et al. 2023

Sci Rep

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A first-of-a-kind geological repository for spent nuclear fuel is being built in Finland and will soon start operations. To make sure all nuclear material stays in peaceful use, the fuel is measured with two complementary non-destructive methods to verify the integrity and the fissile content of the fuel prior to disposal. For pin-wise identification of active fuel material, a Passive Gamma Emission Tomography (PGET) device is used. Gamma radiation emitted by the fuel is assayed from 360 angles around the assembly with highly collimated CdZnTe detectors, and a 2D cross-sectional image is reconstructed from the data. At the encapsulation plant in Finland, there will be the possibility to measure in air. Since the performance of the method has only been studied in water, measurements with mock-up fuel were conducted at the Atominstitut in Vienna, Austria. Four different arrangements of activated Co-60 rods, steel rods and empty positions were investigated both in air and in water to confirm the functionality of the method. The measurement medium was not observed to affect the ability of the method to distinguish modified rod positions from filled rod positions. More extended conclusions about the method performance with real spent nuclear fuel cannot be drawn from the mock-up studies, since the gamma energies, activities, material attenuations and assembly dimensions are different, but full-scale measurements with spent nuclear fuel are planned for 2023.

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“…Similar strategies are often used in medical, geophysical and non-destructive material studies to build or verify a physical model. Numerous examples are given in [9][10][11], which experiment with the idea of using features in a CT reconstruction to extract information relevant to the study. In the same spirit, we consider four problems to examine the use of physical quantification techniques, and how the results could differ from traditional ways of assessing the suitability and performance of reconstruction methods.…”

Section: Introductionmentioning

confidence: 99%

Assessing the efficacy of tomographic reconstruction methods through physical quantification techniques

Coban

Lionheart

Withers

2021

Meas. Sci. Technol.

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Conventionally the performance of computed tomography (CT) reconstruction algorithms is assessed by a voxel-to-voxel comparison between the object and the reconstructed volume, often using digital phantoms. However the real aim in the CT imaging community is not to develop a reconstruction algorithm to obtain the best-looking images, but one that allows us to extract the relevant information to a desired accuracy. Here, through various case studies, we quantify features of interest for the test object and use these as measures of the efficacy of the reconstructions. Where applicable, we compare the assessment technique against commonly used metrics to measure the quality of a reconstructed solution, and find that in most cases the popular metrics have no relation to the accuracy of the features we extract from a reconstruction. The assessment technique we demonstrate, which we refer to as physical quantification, is used to determine the shape, contacts and size of beads for a test dataset made available via the SophiaBeads Dataset Project. Using this image analysis approach a number of widely used reconstruction methods are evaluated. Our work shows that it is important to choose the optimal reconstruction strategy based on the features you want to quantify from the scan. For example, in our case we found that the shape of the beads could be measured using TV regularization with eight times fewer projections than the other methods, or that reconstructions obtained via many but noisy projections yield as accurate results as those obtained via less noisy but fewer projections.

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Applying image analysis techniques to tomographic images of irradiated nuclear fuel assemblies

Cited by 9 publications

References 8 publications

A computerized method (UPPREC) for quantitative analysis of irradiated nuclear fuel assemblies with gamma emission tomography at the Halden reactor

A computerized method (UPPREC) for quantitative analysis of irradiated nuclear fuel assemblies with gamma emission tomography at the Halden reactor

In-air and in-water performance comparison of Passive Gamma Emission Tomography with activated Co-60 rods

Assessing the efficacy of tomographic reconstruction methods through physical quantification techniques

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