Three-dimensional compositional mapping using multiple energy X-ray computed tomography

Endrizzi, M. (2011) Three-dimensional compositional mapping using multiple energy X-ray computed tomography. Il nuovo cimento C, 34 (1). pp. 19-24. ISSN 1826-9885

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When a microstructure contains finer details than the X-ray computed tomography (CT) spatial resolution, the conventional techniques based on segmentation become inadequate for separating the materials composing the sample. Data-constrained modeling overcomes this problem using multiple CT data sets acquired with different X-ray beam energies. The volume fractions of the materials contained into a single voxel are then determined by solving a linear system. The ill-conditioned nature of the linear system reflects into a high sensitivity to the noise. An alternative approach to the direct solution of the linear system, based on the iterative application of the Expectation-Maximization algorithm, is here presented. Different noise conditions are investigated for a random-generated single-voxel problem and for a more complex numerical phantom.

Item Type: Article
Uncontrolled Keywords: X-ray imaging ; Computed tomography
Subjects: 500 Scienze naturali e Matematica > 530 Fisica
Depositing User: Marina Spanti
Date Deposited: 03 Apr 2020 15:08
Last Modified: 03 Apr 2020 15:08

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