Evidence map›Paper›PMID 39980224›Full record

ArticleJournal of applied clinical medical physics2025

Determination of appropriate energy threshold range for accurate estimation of effective atomic number considering statistical uncertainty in photon-counting techniques.

Tomonobu Haba, Hiroaki Hayashi, Tsukasa Takahashi, Shota Naito, Yuichi Furukawa, Shuichiro Yamamoto, Natsumi Kimoto, Shigeki Kobayashi

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tomonobu HabaFaculty of Radiological Technology, School of Medical Science, Fujita Health University, Aichi, Japan.
Hiroaki HayashiCollege of Transdisciplinary Sciences for Innovation, Kanazawa University, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-8836-5068
Tsukasa TakahashiDepartment of Radiology, Fujita Health University Hospital, Aichi, Japan.
Shota NaitoGraduate School of Health Science, Fujita Health University, Aichi, Japan.
Yuichi FurukawaGraduate School of Health Science, Fujita Health University, Aichi, Japan.
Shuichiro YamamotoJOB CORPORATION, Kanagawa, Japan.
Natsumi KimotoDepartment of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University, Fukuoka, Japan.ORCID https://orcid.org/0000-0002-3489-8379
Shigeki KobayashiFaculty of Radiological Technology, School of Medical Science, Fujita Health University, Aichi, Japan.

Funding

JSPS KAKENHI 22K15830
6 · The paper itself

Abstract

purposeThe energy threshold is an important parameter for precise material identification employing photon-counting techniques. However, in such applications, the appropriate energy threshold has not been clarified. Therefore, we aimed to determine the appropriate energy threshold range for precise material identification, focusing on effective atomic number (Z) values as an index.

methodsThe atomic number was estimated using a previously proposed algorithm and Monte Carlo simulations. This algorithm included three steps: calculating the attenuation factor from the incident photon counts on a photon-counting detector, correcting the beam-hardening effects, and estimating the atomic number from the attenuation factor index using the calibration curve. Monte Carlo simulations were performed to add Poisson noise to an ideal x-ray spectrum. The total number of incident x-rays was set in the range of 10

resultsThe appropriate energy threshold range was found to be 31-38 keV for a tube voltage range of 50-120 kV. At this energy threshold, the atomic number can be estimated within an accuracy of ± 0.7 at 10

conclusionsWe found the appropriate energy threshold range. The findings of this study are expected to be useful for appropriately setting the energy threshold during precise material identification using photon-counting detectors for clinical applications.

Indexed as

AlgorithmsAluminumPhantoms, ImagingPhotonsPolymethyl MethacrylateRadiometryRadiotherapy Planning, Computer-AssistedHumansMonte Carlo MethodUncertaintyX-RaysAluminumPolymethyl Methacrylateeffective atomic numberenergy thresholdmaterial identificationMonte Carlo simulationphoton counting

Identifiers

PMID39980224
PMCPMC11969101

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.