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A Comparative Evaluation of Two Scanning Modalities in Industrial Cone-Beam Computed Tomography

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Advances in Non Destructive Evaluation (NDE 2020)

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Abstract

This paper discusses two scanning modalities for Industrial Cone-Beam Computed Tomography (ICBCT) and their comparative evaluation. The first conventional mode scans an object when it is stationary then it moves by an angular step and stops for scanning (Start-Stop mode). The second mode acquires projections on the fly while the object is in a steady motion. The second mode of acquisition of projection data is aimed at reducing overall scanning time with an acceptable level of systemic artifacts. Data generated in both modalities are digital radiographs, which serve as inputs for the generation of CT images. Evaluation of 2D projections acquired in both modalities was analyzed quantitatively to determine their comparative quality. Cone-beam CT has been implemented using the FDK algorithm on all acquired data sets. Subsequently, CT images from both modalities are analytically assimilated in terms of statistical parameters like line profile and SNR for comparative quality analysis. Reduction in scanning time from 3600 to 362 s was successfully achieved, however, system artifact generated due to asynchronous acquisition in the second modality was observed. The method to minimize systemic artifact generated in the second modality is discussed and implemented. Results before system artifact correction and after corrections are shown in the paper. The minimum time of 2π rotation motion for data acquisition without deteriorating reconstructed image quality for defined acquisition parameter has been estimated.

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Correspondence to Anant Mitra .

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Mitra, A., Acharya, R., Kumar, U. (2022). A Comparative Evaluation of Two Scanning Modalities in Industrial Cone-Beam Computed Tomography. In: Mandayam, S., Sagar, S.P. (eds) Advances in Non Destructive Evaluation. NDE 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9093-8_9

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  • DOI: https://doi.org/10.1007/978-981-16-9093-8_9

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