Evidence map›Paper›PMID 40681994›Full record

ArticleBMC medical imaging2025

Non-contrast photon counting computed tomography of the head: optimized modeling of off-focal radiation to reduce calvarium-related tissue inhomogeneity.

Arwed Elias Michael, Martin Petersilka, Denise Schoenbeck, Matthias Michael Woeltjen, Julius Henning Niehoff, Christoph Moenninghoff, Tanja Kurzendorfer, Jan Borggrefe, Lukas Goertz, Jan Robert Kroeger

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Article in BMC medical imaging, 2025. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Arwed Elias MichaelDepartment of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany. arwed.michael@muehlenkreiskliniken.de.
Martin PetersilkaSiemens Healthineers, Erlangen, Germany.
Denise SchoenbeckDepartment of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany.
Matthias Michael WoeltjenDepartment of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany.
Julius Henning NiehoffDepartment of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany.
Christoph MoenninghoffDepartment of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany.
Tanja KurzendorferSiemens Healthineers, Erlangen, Germany.
Jan BorggrefeDepartment of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany.
Lukas GoertzDepartment of Radiology and Neuroradiology, University Hospital of Cologne, Cologne, Germany.
Jan Robert KroegerDepartment of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhoton counting CT (PCCT) is a promising technique for neuroradiological CT examinations. In initial studies on non-contrast PCCT of the head (NCCT), however, artifacts close to the calvarium were noticed, which lead to an inhomogeneous representation of the brain tissue. In this study, a new software for image reconstruction to reduce artifacts is evaluated.

methodsIn the new CT software developed by the manufacturer, off-focal radiation was remodeled and is mathematically corrected in the NCCT in data processing during image formation. For the evaluation, 60 patients with an NCCT in the currently used software and 44 patients in the new software were included retrospectively. A detailed quantitative analysis using multiple regions of interest and a qualitative analysis with a reading by experienced radiologists was performed to evaluate image quality and tissue homogeneity below the calvarium.

resultsThe new software reduced the inhomogeneity of the cortical brain tissue near the calvarium. As a quantitative measure, there is a clear reduction of the signal difference of the gray and white matter at different distances from the calvarium (p < 0.001). In the qualitative analysis, the inhomogeneity of the brain tissue was reduced, and the gray-white differentiation improved (p < 0.001) in the clinically used virtual monoenergetic image at 65 keV.

conclusionsOptimized modelling and mathematical correction of the off-focal radiation in the new software led to an effective reduction of the inhomogeneity of the cortical brain tissue and thus improved image quality.

Indexed as

BrainSkullTomography, X-Ray ComputedAdultAgedArtifactsFemaleHeadHumansImage Processing, Computer-AssistedMaleMiddle AgedRetrospective StudiesSoftwareCalvarial artefactsComputed tomographyImage qualityNon-contrast CT of the headOff-focal radiationPhoton counting computed tomographyPhoton counting detector

Identifiers

PMID40681994
PMCPMC12275235

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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.