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Updated: May 23, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
Published on: November 23, 2019
Comparison of short TE CT-like MRI sequences and UHR-CT in cadaveric wrist study
Hippolyte Kessler1, Maxime Clara1, Romain Gillet2
1Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035 Nancy cedex, France.
Rationale And Objectives:
To evaluate the performance of CT-like MRI sequences (gradient echo with radial k-space filling (GRE), pointwise encoding time reduction with radial acquisition (PETRA), radial Ultrashort Echo Time (UTE)) versus ultra-high-resolution CT (UHR-CT) in assessing carpal bones and soft tissue calcifications in cadaveric wrists.
Materials And Methods:
Five anonymized cadaveric forearm specimens were imaged using a 3 T MRI system with GRE, PETRA, and radial UTE sequences, alongside UHR-CT. Evaluated parameters included bone contours, carpal bone dimensions, cortical thickness, lesion size and soft tissue calcifications. Detection and diagnostic confidence of soft tissue calcifications were graded, and Contrast-to-Noise Ratio (CNR) was assessed for various tissues.
Results:
GRE provided the clearest bone contour visualization, closely matching UHR-CT, with a mean difference of less than 1 mm (p = 0.9). Geode sizes were underestimated by 16.1 % on GRE, 15.6 % on PETRA, and 22.5 % on radial UTE. GRE showed the highest CNR for bone (33.6 ± 15.4), outperforming PETRA (15.8 ± 8.5) and radial UTE (11.4 ± 8.1). Cortical thickness was overestimated significantly by PETRA (p = 0.05) and radial UTE (p = 0.009), but not by GRE (p = 0.5). GRE detected the most calcifications, but over 75 % of hypodense calcifications remained undetected. Overall, GRE offered the best bone contour visualization and CNR, while PETRA and radial UTE were better at distinguishing calcified tissue from tendons.
Conclusion:
CT-like MRI sequences accurately assess bone morphology, with GRE offering the best bone contour visualization and CNR.
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