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Dillenseger JP, Gillet R, Louis M, Bach J, Sieffert C, Meylheuc L, Palpacuer C, Bierry G, Garnon J, Blum A. Quantitative and qualitative evaluation of three MSCT for high resolution bone imaging. Eur J Radiol 2024; 173:111394. [PMID: 38428256 DOI: 10.1016/j.ejrad.2024.111394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/09/2023] [Accepted: 02/23/2024] [Indexed: 03/03/2024]
Abstract
INTRODUCTION 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. METHODS 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). RESULTS 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. CONCLUSIONS 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.
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Affiliation(s)
- Jean-Philippe Dillenseger
- ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France; Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France.
| | - Romain Gillet
- Service D'imagerie Guilloz, CHRU Nancy, Nancy, France; IADI - U1254, Inserm, Université de Lorraine, Nancy, France
| | | | - Justin Bach
- Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France.
| | - Cléa Sieffert
- ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France.
| | - Laurence Meylheuc
- ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France.
| | - Clément Palpacuer
- Clinical research department, Groupe Hospitalier Mulhouse et Sud Alsace, Mulhouse, France.
| | - Guillaume Bierry
- ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France; Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France.
| | - Julien Garnon
- ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France; Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France.
| | - Alain Blum
- Service D'imagerie Guilloz, CHRU Nancy, Nancy, France; IADI - U1254, Inserm, Université de Lorraine, Nancy, France.
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