Quantitative and qualitative evaluation of three MSCT for high resolution bone imaging.

Bones Computed tomography Image Quality enhancement Musculoskeletal system Phantoms

Journal

European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411

Informations de publication

Date de publication:
24 Feb 2024
Historique:
received: 05 09 2023
revised: 09 11 2023
accepted: 23 02 2024
medline: 2 3 2024
pubmed: 2 3 2024
entrez: 1 3 2024
Statut: aheadofprint

Résumé

Strategies for achieving high resolution varies between manufacturers. In CT, the helical mode with narrow collimation has long been considered as the gold standard for high-resolution imaging. More recently, incremental modes with small dexels and focal spot, have been developed but have not been compared with helical acquisitions under optimal conditions. The aim of this work is to compare the high-resolution acquisition strategies currently proposed by recent MSCT. Three CT systems were compared. A phantom was used to evaluate geometric accuracy, uniformity, scan slice geometry, and spatial resolution. Human dry bones were used to test different protocols on real bone architecture. A blind visual analysis was conducted by trained CT users for classifying the different acquisitions (p-values). All systems give satisfactory results in terms of geometric accuracy and uniformity. The in-plane MTF at 5% were respectively 13.4, 15.9 and 18.1 lp/cm. Dry-bones evaluation confirms that acquisition#3 is considered as the best. The incremental acquisition coupled with à small focal spot, and a high-sampling detector, overpasses the reference of low-pitch helical acquisitions for high-resolution imaging. Cortical bone, bony vessels, and tumoral matrix analysis are the very next challenges that will have to be managed to improve normal and pathologic bone imaging thanks to the availability UHR-CT systems.

Identifiants

pubmed: 38428256
pii: S0720-048X(24)00110-4
doi: 10.1016/j.ejrad.2024.111394
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111394

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jean-Philippe Dillenseger (JP)

ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France; Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France. Electronic address: jp.dillenseger@unistra.fr.

Romain Gillet (R)

Service D'imagerie Guilloz, CHRU Nancy, Nancy, France; IADI - U1254, Inserm, Université de Lorraine, Nancy, France.

Matthias Louis (M)

Service D'imagerie Guilloz, CHRU Nancy, Nancy, France. Electronic address: dr.matthias.louis@icloud.com.

Justin Bach (J)

Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France. Electronic address: justin.bach68@gmail.com.

Cléa Sieffert (C)

ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France. Electronic address: clea.sieffert@insa-strasbourg.fr.

Laurence Meylheuc (L)

ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France. Electronic address: Laurence.Meylheuc@insa-strasbourg.fr.

Clément Palpacuer (C)

Clinical research department, Groupe Hospitalier Mulhouse et Sud Alsace, Mulhouse, France. Electronic address: clement.palpacuer@gmail.com.

Guillaume Bierry (G)

ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France; Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France. Electronic address: guillaume.bierry@chru-strasbourg.fr.

Julien Garnon (J)

ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France; Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France. Electronic address: julien.garnon@chru-strasbourg.fr.

Alain Blum (A)

Service D'imagerie Guilloz, CHRU Nancy, Nancy, France; IADI - U1254, Inserm, Université de Lorraine, Nancy, France. Electronic address: a.blum@chru-nancy.fr.

Classifications MeSH