X-ray based methods for non-destructive testing and material characterization

Hanke, Randolf; Fuchs, Theobald; Uhlmann, Norman

doi:10.1016/j.nima.2008.03.016

Cited by 187 publications

(91 citation statements)

References 1 publication

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“…6,8 Figure 2 shows a radiography image and a tomography image of a pin-platetype sample shown in Fig. 1, there are two kinds of x-ray-based inspections: radiographic imaging or tomographic imaging.…”

Section: Acquisition Of Cross-sectional Image Using Ctmentioning

confidence: 99%

Template-based defect detection of a brazed heat exchanger using an x-ray image

Kim

2013

Opt. Eng

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Brazing joining is widely used in heat exchangers due to its effectiveness in increasing the efficiency of the heat-exchange process. When there is a defect in the brazing joints of a heat exchanger, damage occurs to the heat exchanger and heat efficiency is decreased. Therefore, to secure the quality of the brazing joints, the development of a highly reliable inspection method that can detect the defects in the brazing joints is required. We utilize an x-ray-using method to inspect the defects in brazing joints. First, x-ray cross-sectional images of the brazing joints are obtained by using computerized tomography (CT) technology. A cross-sectional image obtained from CT is more effective to detect the inner defects than the traditional transmitted x-ray image. Second, the acquired images are processed, and then template-matching-based defect detection algorithms of the brazing joints are proposed. Finally, a series of experiments to detect the brazing defects by using the proposed algorithm are performed concerning two types of brazing joint. The experimental results show that the proposed algorithms are suitable for defect detection of the brazing joint-based heat exchangers.

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Section: Acquisition Of Cross-sectional Image Using Ctmentioning

confidence: 99%

Template-based defect detection of a brazed heat exchanger using an x-ray image

Kim

2013

Opt. Eng

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“…Challenges with these objects and materials are varying physical effects like radiation scattering or beam hardening. The development of CT systems, which are capable to detect, e.g., pores or smallest delaminations within the composites or to measure small and hidden coolant boreholes of the turbine blades, currently is in progress [4]. v. CONCLUSIONS Despite of the great variation of materials and geometrical aspects is it possible to answer a lot of demands and questions arising in different fields with present system setups of high and highest resolution computed tomography systems.…”

Section: B Microstructure Ofalloysmentioning

confidence: 99%

High resolution applications in nondestructive testing

Uhlmann

Nachtrab

Salamon

et al. 2008

2008 IEEE Nuclear Science Symposium Conference Record

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Radioscopy and computed tomography in medical applications are well established and have reached a high level of development. Compared to medical applications industrial non destructive-testing (NDT) has to deal with a large variety of different materials and material combinations, densities and density dynamics, geometries and structures which need to be inspected. This large variation necessitates the use and intelligent combination of different system components like detectors, manipulation systems and x-ray tubes to set up specialized inspection systems for different applications to fulfil the high demands of the customer. A good example for the variation of inspected materials and the variety of demands on the inspection systems is aerospace industry. Upcoming new lightweight materials for aircraft construction like carbon composites with low densities and low Z with short penetration lengths make high demands on the inspection system according to contrast sensitivity and system resolution. On the other hand high density and high absorbing materials combined with parts of large aspect ratios like aircraft engine parts also make high demands on the system according to dynamic range, spatial resolution in combination with penetrability. Dependent upon the field in different industry branches the demands vary from fast inline inspection to slow and very precise high resolution and from low absorbing to very high absorbing materials. In this paper we show typical equipment for fulfilling the demands on high resolution applications and give an overview of typical application fields

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“…X-RAY computed tomography (CT) is one of the main modern imaging modalities widely applied in clinical diagnosis [1], pharmaceutical industries [2], [3] and other non-destructive evaluations [4]. The importance of x-ray CT has never been underestimated for its high spatial resolution, high temporal resolution, and fast scanning speed.…”

Section: Introductionmentioning

confidence: 99%

GPU-Based Branchless Distance-Driven Projection and Backprojection

Man

et al. 2017

IEEE Trans. Comput. Imaging

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Projection and backprojection operations are essential in a variety of image reconstruction and physical correction algorithms in CT. The distance-driven (DD) projection and backprojection are widely used for their highly sequential memory access pattern and low arithmetic cost. However, a typical DD implementation has an inner loop that adjusts the calculation depending on the relative position between voxel and detector cell boundaries. The irregularity of the branch behavior makes it inefficient to be implemented on massively parallel computing devices such as graphics processing units (GPUs). Such irregular branch behaviors can be eliminated by factorizing the DD operation as three branchless steps: integration, linear interpolation, and differentiation, all of which are highly amenable to massive vectorization. In this paper, we implement and evaluate a highly parallel branchless DD algorithm for 3D cone beam CT. The algorithm utilizes the texture memory and hardware interpolation on GPUs to achieve fast computational speed. The developed branchless DD algorithm achieved 137-fold speedup for forward projection and 188-fold speedup for backprojection relative to a single-thread CPU implementation. Compared with a state-of-the-art 32-thread CPU implementation, the proposed branchless DD achieved 8-fold acceleration for forward projection and 10-fold acceleration for backprojection. GPU based branchless DD method was evaluated by iterative reconstruction algorithms with both simulation and real datasets. It obtained visually identical images as the CPU reference algorithm.

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X-ray based methods for non-destructive testing and material characterization

Cited by 187 publications

References 1 publication

Template-based defect detection of a brazed heat exchanger using an x-ray image

Template-based defect detection of a brazed heat exchanger using an x-ray image

High resolution applications in nondestructive testing

GPU-Based Branchless Distance-Driven Projection and Backprojection

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