Quantitative material characterization based on the spectral decomposition of X-ray tomographic images

Vrbaski, S. and Longo, R. and Taibi, A. and Contillo, A. (2021) Quantitative material characterization based on the spectral decomposition of X-ray tomographic images. Il nuovo cimento C, 44 (4-5). pp. 1-4. ISSN 1826-9885

Text ncc12322.pdf - Published Version Download (246kB)

Abstract

A single-energy CT provides a map of gray levels simply related to X-rays linear attenuation coefficients, which could be very similar for different materials at a given energy. Images acquired at multiple energies allows for a quantitative description of an object. In this work, phantom images were acquired using synchrotron radiation CT at precisely defined energies. A successful attempt was made to differentiate the phantom materials with respect to their decomposition into basis materials.

Item Type:	Article
Subjects:	500 Scienze naturali e Matematica > 530 Fisica
Depositing User:	Marina Spanti
Date Deposited:	15 Oct 2021 09:34
Last Modified:	15 Oct 2021 09:34
URI:	http://eprints.bice.rm.cnr.it/id/eprint/21380

Actions (login required)

View Item