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ArticleRadiological physics and technology2026

Intra-vendor inter-scanner agreement of negative-HU measurements on fast kV-switching dual-energy CT virtual monoenergetic imaging: a phantom study.

Norimi Nishiyama, Takanori Masuda, Junnichi Nakagawa, Motohiro Tabchi, Ryota Yamanaka, Yoshinori Nagayasu, Yuta Fujiwara, Hiroyuki Ikenaga

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Article in Radiological physics and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Norimi NishiyamaDepartment of Radiological Technology, Okayama Saiseikai General Hospital, 2-25, Kokutai-cho, Kita-ku, Okayama-shi, 700-8511, Okayama, Japan.
Takanori MasudaDepartment of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, 288, Matsushima, Kurashiki, 701-0193, Okayama, Japan. takanorimasuda@yahoo.co.jp.ORCID http://orcid.org/0000-0002-4164-4369
Junnichi NakagawaDepartment of Radiological Technology, Okayama Saiseikai General Hospital, 2-25, Kokutai-cho, Kita-ku, Okayama-shi, 700-8511, Okayama, Japan.
Motohiro TabchiDepartment of Radiology, Konko Hospital (Dojinkai Medical Corporation), 740 Uramishinden, Konko-cho, Asakuchi, 719-0104, Okayama, Japan.
Ryota YamanakaDepartment of Central Radiology, Japanese Red Cross Okayama Hospital, 2-1-1 Aoe, Kita-ku, Okayama, 700-8607, Okayama, Japan.
Yoshinori NagayasuDepartment of Radiology, Akaiwa Medical Association Hospital, 187-1 Shimoichi, Akaiwa, 709-0816, Okayama, Japan.
Yuta FujiwaraDepartment of Radiological Technology, Onomichi Municipal Hospital, Shintakayama, Onomichi, 722-8503, Hiroshima, Japan.
Hiroyuki IkenagaDepartment of Radiological Technology, Kawasaki Medical School Hospital, 577, Matsushima, Kurashiki, 701-0192, Okayama, Japan.

Funding

This work was supported by the Japanese Society of Radiological Technology Research Grant (FY 2024-2025). This work was supported by the Japanese Society of Radiological Technology Research Grant (FY 2024-2025).
6 · The paper itself

Abstract

The purpose of this study was to evaluate inter-scanner agreement and the dose-related stability of negative CT-number measurements on dual-energy CT virtual monoenergetic images under low-, mid-, and high-dose conditions. A custom phantom (sawdust, salad oil, cutting-fluid dilutions 100%-3%, and water) was scanned on two CT systems (Revolution CT and Discovery CT750 HD). DECT VMI (40-140 keV) was acquired at three CTDIvol-defined dose levels with five repeats per condition; CT numbers were measured using standardized central ROIs. Negative-HU materials increased monotonically with increasing keV on both scanners. At 70 keV, inter-scanner bias (ΔHU = Revolution - 750HD) increased as HU became more negative (r = 0.840), with an overall mean bias of - 3.57 HU and 95% limits of agreement of - 16.90 to 9.75 HU. The largest discrepancies were for sawdust (- 18.70 to - 20.09 HU). Water reference behavior differed by scanner and dose (Mean(|HU|) across 40-140 keV: 0.223 HU for Revolution vs. 2.464 HU for 750HD at low dose; 750HD remained offset at mid-high dose (2.319-2.508 HU). Dose stability at 70 keV was generally high, but 750HD showed low-dose deviations for 20% and 30% (ranges 12.13 and 12.27 HU) that diminished at mid-high dose. VMI shows predictable energy-dependent behavior for negative-HU materials, but inter-scanner bias increases for strongly negative values and low-dose conditions, and water-reference behavior can influence stability; scanner-aware interpretation and phantom-based harmonization are warranted for quantitative evaluation in the negative HU range.

Indexed as

Phantoms, ImagingTomography Scanners, X-Ray ComputedTomography, X-Ray ComputedRadiation DosageTime FactorsDual-energy CTInter-scanner biasNegative Hounsfield unitsPhantom studyVirtual monoenergetic imaging

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.