Computed laminography and reconstruction algorithm

Que, JM; Cao, Da-Quan; Zhao, Wei; Tang, Xiao; Sun, Chenglin; Wang, Yanfang; Wei, Cunfeng; Shi, Rong-Jian; Wei, Long; Yu, Zhou; Yan, Yi

doi:10.1088/1674-1137/36/8/017

Cited by 14 publications

(4 citation statements)

References 7 publications

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“…When evaluating the actual scan experiment image, the global sharpness (S global ), boundary sharpness (S boundary ), and contrast-to-noise ratio (CNR) were measured for quantitative evaluation [11]. To calculate the sharpness of the volume image, volume data were calculated for each slice [19].…”

Section: Experimental Studymentioning

confidence: 99%

“…Using rotational CL, magnification can be controlled by adjusting the distance between the source and the object and changing the scan field of view (FOV) according to the degree of the tilted angle [5,6]. Therefore, improving the spatial resolution and quality of the reconstructed images is possible using rotational CL, increasing its usefulness and effectiveness in NDT [1,2,6,9,11].…”

Section: Introduction 1| Nondestructive Testing and Computed Laminogr...mentioning

confidence: 99%

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Geometric calibration of a computed laminography system for high‐magnification nondestructive test imaging

2022

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Nondestructive testing, which can monitor a product's interior without disassembly, is becoming increasingly essential for industrial inspection. Computed laminography (CL) is widely used in this application, as it can reconstruct a product, such as a printed circuit board, into a three-dimensional (3D) highmagnification image using X-rays. However, such high-magnification scanning environments can be affected by minute vibrations of the CL device, which can generate motion artifacts in the 3D reconstructed image. Since such vibrations are irregular, geometric corrections must be performed at every scan. In this paper, we propose a geometry calibration method that can correct the geometric information of CL scans based on the image without using geometry calibration phantoms. The proposed method compares the projection and digitally reconstructed radiography images to measure the geometric error. To validate the proposed method, we used both numerical phantom images at various magnifications and images obtained from real industrial CL equipment. The experiment results confirmed that sharpness and contrast-to-noise ratio (CNR) were improved.

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Section: Experimental Studymentioning

confidence: 99%

Section: Introduction 1| Nondestructive Testing and Computed Laminogr...mentioning

confidence: 99%

Geometric calibration of a computed laminography system for high‐magnification nondestructive test imaging

2022

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“…In the linear scanning method of CL imaging technology, a reverse movement of the ray source and the object can achieve only a clear imaging of the specified depth layer of the detected object. To obtain structural information of the object at different depth layers, multiple reverse movements are required [12], [13]. Therefore, X-CT and X-CL can not achieve simple application requirements.…”

Section: Related Workmentioning

confidence: 99%

X-Ray Layered Refocusing Imaging Based on Linear Scanning

Liu

Luo

et al. 2020

IEEE Photonics J.

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In the process of X-ray digital imaging, due to the mutual occlusion of object structures of different depth layers, the image projection information is overlapped. X-CT(Computed-Tomography) and X-CL(Computed-Laminography) are usually used to obtain structural information of objects at different depths, but they are limited by accurate multidimensional motion control systems, complex scanning methods and poor real-time computing performance.To solve the problems, this paper proposed a method of X-ray layered imaging based on linear scanning. This method only needs the object to pass through the detection area along a straight line to realize the multi-view imaging, extracts the effective multi-view images information for refocusing imaging, and realizes the reconstruction of different depth layers of the object. Meanwhile, the automatic marking matting algorithm is employed to remove the non-focused interference in the refocused images. Experiments of X-ray layered imaging were conducted, which demonstrated the proposed method can achieve objects reconstruction with different depths, and effectively remove the non-focused interference.

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“…In addition, x-rays computed laminography (CL) as an alternative scanning method is proposed for imaging of flat panel sample. X-rays CL imaging usually requires time-consuming iterative algorithms to reconstruct images [6,7]. Thus x-rays CL also can't quickly achieve clear imaging of samples at different depths.…”

Section: Introductionmentioning

confidence: 99%

Arbitrary depth slice imaging based on cone beam x-rays multi-angle sampling

Xia

Zhao

et al. 2021

J. Inst.

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Arbitrary internal depth slice imaging is an effective way to realize rapid industrial scanning and reconstruction method in x-rays imaging. This paper proposes a novel arbitrary internal depth slice imaging (AIDSI) method for cone beam x-rays imaging. AIDSI builds the relationships between voxels of depth slices and pixels of sampling images under the cone beam x-ray source, which serves to refocus sampling data to specified depth slices. To remove artifacts of direct refocusing, a 3-point weighted practical ramp filtering method is used for sparse sampling data. The side lobes of the filter converge fast, artifacts caused by Gibbs effects are effectively reduced compared with common Shepp-Logan and Ram-Lak filters. Additionally, a weighting function is designed to reduce artifacts caused by structures of uninteresting layers. The feasibility and effectiveness of AIDSI is evaluated through simulation and real experiments. Results show that the proposed method has the ability to directly reconstruct arbitrary depth slice images based on random sparse sampling data, which is expected to be used for rapid detection of a large number of samples in industry.

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Computed laminography and reconstruction algorithm

Cited by 14 publications

References 7 publications

Geometric calibration of a computed laminography system for high‐magnification nondestructive test imaging

Geometric calibration of a computed laminography system for high‐magnification nondestructive test imaging

X-Ray Layered Refocusing Imaging Based on Linear Scanning

Arbitrary depth slice imaging based on cone beam x-rays multi-angle sampling

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