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ID 70867
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Hayashi, Hiroaki College of Transdisciplinary Sciences for Innovation, Kanazawa University
Nishigami, Rina Graduate School of Medical Sciences, Kanazawa University
Asahara, Takashi Department of Radiological Technology, Faculty of Health Sciences, Okayama University
Kimoto, Natsumi Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University
Kobayashi, Daiki Graduate School of Medical Sciences, Kanazawa University
Mitani, Mana Division of Radiological Technology, Medical Support Department, Okayama University Hospital
Akagi, Noriaki Division of Radiological Technology, Medical Support Department, Okayama University Hospital
Higaki, Fumiyo Department of Radiology, Medical Development Field, Okayama University
Iguchi, Toshihiro Department of Radiological Technology, Faculty of Health Sciences, Okayama University Kaken ID
Abstract
Recently, photon-counting computed tomography (PC-CT) devices have become clinically available for X-ray diagnosis, and developments of analysis algorithms to generate various quantitative images have focused attention. This study proposes an algorithm to calculate the effective physical density (ρeff) of biological objects having an effective atomic number (Zeff) of 3–20. In our procedure, ρeff was determined when fitting the interaction cross sections (σs) to the measured linear attenuation coefficients (μs), which were determined from virtual monochromatic images (VMIs). In this process, the Zeff was analyzed in advance, and this information was fed back to the ρeff analysis. A key feature of our procedure is that it does not require calibration processes based on specific substances, which allow us to analyze any substance without making assumptions.
To validate the availability of the proposed algorithm, we conducted an experiment using a clinical PC-CT scanner. A multi-energy CT phantom, a water phantom, an in-house low-density phantom, food samples, and a chest phantom were scanned. The results showed that our procedure can calculate ρeff of water with an uncertainty of 4.5%. The academic significance of the present research results lies in demonstrating that the factors contributing to contrast, previously obtained from CT values, can be physically interpreted using information from Zeff and ρeff. This analysis cannot be performed with conventional single-energy CT scanners and is possible with PC-CT and dual-energy CT scanners. Our novel procedure is expected to provide useful additional information in X-ray diagnosis.
Keywords
Computed tomography
Photon counting
Physical density image
Virtual monochromatic image
Diagnostic X-rays
Published Date
2026-10
Publication Title
Applied Radiation and Isotopes
Volume
volume236
Publisher
Elsevier BV
Start Page
112768
ISSN
0969-8043
NCID
AA10874887
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2026 The Authors.
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PubMed ID
DOI
Related Url
isVersionOf https://doi.org/10.1016/j.apradiso.2026.112768
License
http://creativecommons.org/licenses/by/4.0/
助成情報
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