Energy-dispersive x-ray computed tomography utilizing beam hardening

Eiichi Sato; Kazuki Ito; Hodaka Moriyama; Sohei Yoshida; Kunihiro Yoshioka; Osahiko Hagiwara; Toshiyuki Enomoto; Manabu Watanabe; Hiroyuki Nitta

doi:10.1117/12.2677103

4 October 2023 Energy-dispersive x-ray computed tomography utilizing beam hardening

Eiichi Sato, Kazuki Ito, Hodaka Moriyama, Sohei Yoshida, Kunihiro Yoshioka, Osahiko Hagiwara, Toshiyuki Enomoto, Manabu Watanabe, Hiroyuki Nitta

Author Affiliations +

Proceedings Volume 12674, Applications of Digital Image Processing XLVI; 126740D (2023) https://doi.org/10.1117/12.2677103
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

To perform energy-dispersive x-ray computed tomography (EDCT), we constructed a computer program to amplify the digital values of raw radiograms. The CT scanner consists of an x-ray generator with a 0.1-mm-focus tube, a turntable, a flat panel detector (FPD), and a personal computer (PC). An object on the turntable is irradiated by the x-ray generator, 1.3-magnified 720 radiograms are taken by the FPD, and tomograms are reconstructed using the PC. Utilizing the digital amplifier, the object projections obtained using low-energy photons disappeared with increasing amplification factor at a constant maximum value, and the effective energy increased according to increases in the amplification factor by beam hardening. Using the beam-hardening CT (BHCT) scanner, high-contrast tomography for various objects was performed by controlling effective energy. In particular, fine blood vessels were observed by K-edge CT using iodine media.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Eiichi Sato, Kazuki Ito, Hodaka Moriyama, Sohei Yoshida, Kunihiro Yoshioka, Osahiko Hagiwara, Toshiyuki Enomoto, Manabu Watanabe, and Hiroyuki Nitta "Energy-dispersive x-ray computed tomography utilizing beam hardening", Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 126740D (4 October 2023); https://doi.org/10.1117/12.2677103

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