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Updated: Jul 1, 2025
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A Sectioning, Coring, and Image Processing Guide for High-Throughput Cortical Bone Sample Procurement and Analysis for Synchrotron Micro-CT
Published on: June 12, 2020
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Quantitative and qualitative evaluation of three MSCT for high resolution bone imaging
Jean-Philippe Dillenseger1, Romain Gillet2, Matthias Louis3
1ICube - UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France; Pole d'imagerie médicale, Hôpitaux universitaire de Strasbourg, Strasbourg, France.
European Journal of Radiology
|March 1, 2024
Summary
New incremental CT acquisition modes with small focal spots and high-sampling detectors outperform traditional helical methods for high-resolution imaging. This advancement promises improved visualization of bone structures in CT scans.
Area of Science:
- Medical Imaging
- Radiology
- Computed Tomography
Background:
- High-resolution imaging strategies differ among CT manufacturers.
- Helical CT with narrow collimation is the established standard for high-resolution imaging.
- Newer incremental modes require comparison with helical acquisitions under optimal conditions.
Purpose of the Study:
- To compare high-resolution acquisition strategies from recent multi-slice CT (MSCT) systems.
- Evaluate the performance of incremental versus helical acquisition modes.
Main Methods:
- Three CT systems were evaluated using a phantom for geometric accuracy, uniformity, slice geometry, and spatial resolution.
- Dry human bone samples were used to assess real bone architecture.
- Trained CT users performed blind visual analysis of different acquisition protocols.
Main Results:
- All systems demonstrated satisfactory geometric accuracy and uniformity.
- In-plane Modulation Transfer Function (MTF) at 5% varied across systems (13.4, 15.9, 18.1 lp/cm).
- Acquisition protocol #3 was identified as superior in dry-bone evaluations.
Conclusions:
- Incremental acquisition, utilizing small focal spots and high-sampling detectors, surpasses helical acquisitions for high-resolution imaging.
- Future challenges include improving normal and pathological bone imaging, particularly for cortical bone, bony vessels, and tumoral matrices, with Ultra-High-Resolution CT (UHR-CT).
