Acceleration of X-ray computed tomography scanning with high-quality reconstructed volume by deblurring transmission images using convolutional neural networks

Yuki, Ryo; Ohtake, Yutaka; Suzuki, Hiromasa

doi:10.1016/j.precisioneng.2021.08.023

Cited by 6 publications

(1 citation statement)

References 29 publications

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“…Under these conditions, the source induces temperature variations that may influence the precision of the dimensional measurement [9]; the X-ray beam scattering correlates with heat conduction according to the ballistic-diffusive heat-conduction equation in [10]. Moreover, high-resolution CT demands correction due to time-dependent electron beam drift and focal spot movement due to thermal deformation of the X-ray tube [8,11,12]. The quality of tomographic reconstruction can be significantly improved by digital inverse spot movement, therefore achieving better accuracy of dimensional CT measurements and ameliorating the design of transmission X-ray tubes.…”

Section: Introductionmentioning

confidence: 99%

Photothermal effect in X-ray images for computed tomography of metallic parts: Stainless steel spheres

Moock,

Arce Chávez,

García-Segundo

et al. 2024

Journal of X-Ray Science and Technology: Clinical Applications

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BACKGROUND: The environmental impact on industrial X-ray tomography systems has gained its attention in terms of image precision and metrology over recent years, yet is still complex due to the variety of applications. OBJECTIVE: The current study explores the photothermal repercussions of the overall radiation exposure time. It shows the emerging dimensional uncertainty when measuring a stainless steel sphere by means of circular tomography scans. METHODS: The authors develop a novel frame difference method for X-ray radiographies to evaluate the spatial changes induced in the projected absorption maps on the X-ray panel. The object of interest has a simple geometry for the purpose of proof of concept. The dominant source of the observed radial uncertainty is the photothermal effect due to high-energy X-ray scattering at the metal workpiece. Thermal variations are monitored by an infrared camera within the industrial tomography system, which confines that heat in the industrial grade X-ray system. RESULTS: The authors demonstrate that dense industrial computed tomography programs with major X-ray power notably affect the uncertainty of digital dimensional measurements. The registered temperature variations are consistent with dimensional changes in radiographies and hence form a source of error that might result in visible artifacts within the 3D image reconstruction. CONCLUSIONS: This contribution is of fundamental value to reach the balance between the number of projections and radial uncertainty tolerance when performing analysis with X-ray dimensional exploration in precision measurements with industrial tomography.

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Section: Introductionmentioning

confidence: 99%

Photothermal effect in X-ray images for computed tomography of metallic parts: Stainless steel spheres

Moock,

Arce Chávez,

García-Segundo

et al. 2024

Journal of X-Ray Science and Technology: Clinical Applications

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Practical Part-Specific Trajectory Optimization for Robot-Guided Inspection via Computed Tomography

et al. 2022

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Robot-guided computed tomography enables the inspection of parts that are too large for conventional systems and allows, for instance, the non-destructive and volumetric evaluation of mechanical joining components within already assembled cars in the automotive industry. However, the typical scan time required by such setups is still significant and represents a major barrier for its industrial large-scale application. As an approach to mitigate the necessary time demand, we propose a part-specific adjustment of the acquisition trajectory. Common circular standard trajectories are inherently inefficient, since they are applied independently of the considered inspection task, while the use of acquisition orbits tailored particularly to the investigated object effectively allows a reduction of the required number of projections, which in turn has the potential to directly decrease the scan time significantly. In contrast to former simulation-guided approaches, this work is considered to be the first successful task-specific trajectory optimization being performed on a robot-based industrial CT platform and aims towards providing a first proof of concept that such methods can be practically applied in a shop floor environment. Based on representative results, a reduction of the number of required projections by approx. 55 % or an image quality improvement according to the root-mean squared error by approx. 40 % compared to the conventionally applied planar acquisition trajectory was achieved.

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Machine learning in industrial X-ray computed tomography – a review

Bellens,

Guerrero,

Vandewalle

et al. 2024

CIRP Journal of Manufacturing Science and Technology

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Acceleration of X-ray computed tomography scanning with high-quality reconstructed volume by deblurring transmission images using convolutional neural networks

Cited by 6 publications

References 29 publications

Photothermal effect in X-ray images for computed tomography of metallic parts: Stainless steel spheres

Photothermal effect in X-ray images for computed tomography of metallic parts: Stainless steel spheres

Practical Part-Specific Trajectory Optimization for Robot-Guided Inspection via Computed Tomography

Machine learning in industrial X-ray computed tomography – a review

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