Estimation of Trabecular Bone Volume with Dual-Echo Ultrashort Echo Time (UTE) Magnetic Resonance Imaging (MRI) Significantly Correlates with High-Resolution Computed Tomography (CT)
Trabecular bone architecture has important implications for the mechanical strength of bone. Trabecular elements appear as signal void when imaged utilizing conventional magnetic resonance imaging (MRI) sequences. Ultrashort echo time (UTE) MRI can acquire high signal from trabecular bone, allowing for quantitative evaluation. However, the trabecular morphology is often disturbed in UTE-MRI due to chemical shift artifacts caused by the presence of fat in marrow. This study aimed to evaluate a UTE-MRI technique to estimate the trabecular bone volume fraction (BVTV) without requiring trabecular-level morphological assessment. A total of six cadaveric distal tibial diaphyseal trabecular bone cubes were scanned using a dual-echo UTE Cones sequence (TE = 0.03 and 2.2 ms) on a clinical 3T MRI scanner and on a micro-computed tomography (μCT) scanner. The BVTV was calculated from 10 consecutive slices on both the MR and μCT images. BVTV calculated from the MR images showed strongly significant correlation with the BVTV determined from μCT images (R = 0.84, <i>p</i> < 0.01), suggesting that UTE-MRI is a feasible technique for the assessment of trabecular bone microarchitecture. This would allow for the non-invasive assessment of information regarding bone strength, and UTE-MRI may potentially serve as a novel tool for assessment of fracture risk.
Authors
- Christine B. Chung (ORCID: https://orcid.org/0000-0002-0821-5458)
- Dina Moazamian (ORCID: https://orcid.org/0000-0002-8815-4535)
- Behnam Namiranian
- Salem Alenezi
- Saeed Jerban (ORCID: https://orcid.org/0000-0001-6450-2892)
- Hamidreza Shaterian Mohammadi (ORCID: https://orcid.org/0009-0006-4749-437X)
- Karen Y. Cheng (ORCID: https://orcid.org/0000-0003-3855-7608)
Institutions
- Saudi Arabian Monetary Authority (SA)
- University of California San Diego (US)
- VA San Diego Healthcare System (US)
Publication Details
- Journal
- Journal of Imaging
- Published
- 2025-02-13
- DOI
- https://doi.org/10.3390/jimaging11020057
- Citations
- 1
- Primary Topic
- Bone and Joint Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- U.S. Department of Veterans Affairs
- National Institutes of Health
- GE Healthcare