On the inclusion of light transport in prediction tools for Cherenkov light intensity assessment of irradiated nuclear fuel assemblies

Branger, Erik; Grape, Sophie; Jansson, Peter; Svärd, Staffan Jacobsson

doi:10.1088/1748-0221/14/01/t01010

Cited by 3 publications

(11 citation statements)

References 7 publications

(19 reference statements)

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“…The assemblies with the same design were visually determined to be indistinguishable. The two assembly designs will be referred to as design B and design E, following the convention used in [6].…”

Section: Validation Of Results With Measurement Data From Intact Spent Nuclear Fuel Assembliesmentioning

confidence: 99%

“…For each assembly, the expected intensity as predicted in [6] is used. The predictions are easily adopted to the ROI segments used proposed here, since all ROI segments are expected to contain the same fraction of the total light intensity.…”

Section: Validation Of Results With Measurement Data From Intact Spent Nuclear Fuel Assembliesmentioning

confidence: 99%

“…Hence, for every ROI, the predicted total light intensity is distributed equally over the segments. The predictions in [6] include prediction for the light intensity caused by the near-neighbour effect, i.e. that Cherenkov light in an assembly is caused by radiation originating from a nearby assembly.…”

Section: Validation Of Results With Measurement Data From Intact Spent Nuclear Fuel Assembliesmentioning

confidence: 99%

“…1. equal surface area for all segments, 2. equal predicted total light intensity for all segments based on simulated DCVD images of a PWR 17x17 fuel assembly as described in [6].…”

Section: Segmented Roismentioning

confidence: 99%

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Partial defect detection using the DCVD and a segmented Region-Of-Interest

Branger¹,

Grape²,

Jansson³

2020

J. Inst.

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The Digital Cherenkov Viewing Device (DCVD) is a safeguards instrument available to international nuclear safeguards inspectors. It is frequently used to verify fuel on the gross defect level, and approved for partial defect verification, i.e. to assess that parts of a fuel assembly have not been diverted. The current limit for partial defect verification with the DCVD is on the 50% level. In the verification process, an analysis methodology is used where the inspector places a Region-Of-Interest (ROI) around the fuel assembly and assesses the total Cherenkov light intensity within this region. The intensity is then compared to a predicted value, and deviations from the predicted value are used to flag fuel assemblies for further investigations.In this work, we investigate a slightly different analysis approach, where the ROI is split into two or three segments to more accurately capture changes in light intensity in different regions of the captured image. The purpose is to increase the sensitivity of the DCVD to partial defects below the 50% level. Based on simulations of a Pressurised Water Reactor 17x17 fuel assembly, we conclude that a partial defect on the 30% level decreases the Cherenkov light intensity by at least 15% using one single ROI, by at least 20% using a ROI with two segments, and by at least 22% using a ROI with three segments. The analysis approach using two or three ROI segments instead of one thus appears to be more sensitive to partial defects, and can enable more accurate detection of partial defects on the 50% level as well as partial defect detection below the 50% level.Validation of the approach using a limited set of measurement data of intact fuel assemblies supports that detection of light intensity reductions by 20% and 22% is possible, while ensuring that the false positive rate is kept sufficiently low. However, an optimization of ROI segment splits as well as a more extended validation of the approach is required before the method can be considered reliable and applicable to all fuel assemblies that the DCVD can verify today.

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Section: Validation Of Results With Measurement Data From Intact Spent Nuclear Fuel Assembliesmentioning

confidence: 99%

Section: Validation Of Results With Measurement Data From Intact Spent Nuclear Fuel Assembliesmentioning

confidence: 99%

Section: Validation Of Results With Measurement Data From Intact Spent Nuclear Fuel Assembliesmentioning

confidence: 99%

“…1. equal surface area for all segments, 2. equal predicted total light intensity for all segments based on simulated DCVD images of a PWR 17x17 fuel assembly as described in [6].…”

Section: Segmented Roismentioning

confidence: 99%

See 2 more Smart Citations

Partial defect detection using the DCVD and a segmented Region-Of-Interest

Branger¹,

Grape²,

Jansson³

2020

J. Inst.

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“…In DCVD measurements, the light detected by a CCD chip pixel consists of several light components, where only the Cherenkov light emitted by the fuel assembly under study, I assembly , is of interest, and all other components can be considered background. The intensity value reported by a pixel, I c can be expressed by equation (2.1) (see [4] and [5]). Here I neighbour is Cherenkov light created in the assembly being measured due to radiation originating from neighbouring assemblies, and I ambient is the ambient light from facility lights.…”

Section: Background In Dcvd Measurementsmentioning

confidence: 99%

Experimental study of background subtraction in Digital Cherenkov Viewing Device measurements

et al. 2018

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Cherenkov Luminescence in Tumor Diagnosis and Treatment: A Review

Wang

et al. 2022

Photonics

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Malignant tumors rank as a leading cause of death worldwide. Accurate diagnosis and advanced treatment options are crucial to win battle against tumors. In recent years, Cherenkov luminescence (CL) has shown its technical advantages and clinical transformation potential in many important fields, particularly in tumor diagnosis and treatment, such as tumor detection in vivo, surgical navigation, radiotherapy, photodynamic therapy, and the evaluation of therapeutic effect. In this review, we summarize the advances in CL for tumor diagnosis and treatment. We first describe the physical principles of CL and discuss the imaging techniques used in tumor diagnosis, including CL imaging, CL endoscope, and CL tomography. Then we present a broad overview of the current status of surgical resection, radiotherapy, photodynamic therapy, and tumor microenvironment monitoring using CL. Finally, we shed light on the challenges and possible solutions for tumor diagnosis and therapy using CL.

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On the inclusion of light transport in prediction tools for Cherenkov light intensity assessment of irradiated nuclear fuel assemblies

Abstract: On the inclusion of light transport in prediction tools for Cherenkov light intensity assessment of irradiated nuclear fuel assemblies

Cited by 3 publications

References 7 publications

Partial defect detection using the DCVD and a segmented Region-Of-Interest

Partial defect detection using the DCVD and a segmented Region-Of-Interest

Experimental study of background subtraction in Digital Cherenkov Viewing Device measurements

Cherenkov Luminescence in Tumor Diagnosis and Treatment: A Review

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