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Quantitative measurement of T2, T1ρ and T1 relaxation times in articular cartilage and cartilage-bone interface by SE and UTE imaging at microscopic resolution
- Source :
- Journal of Magnetic Resonance. 297:76-85
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Both spin-echo (SE) and ultra-short echo (UTE) based MRI sequences were used on a 7 T µMRI system to quantify T2, T1ρ and T1 relaxation times from articular cartilage to the cartilage-bone interface on canine humeral specimens at 19.5 µm pixel resolution. A series of five relaxation-weighted images were acquired to calculate one relaxation map (T2, T1ρ or T1), from which the depth-dependent profiles were examined between the SE method and the UTE method, over the entire non-calcified cartilage and within the cartilage-bone interface. SE-based methods enabled the quantification of relaxation profiles over the noncalcified cartilage, from 0 µm (articular surface) to approximately 460 µm in depth (near the end of radial zone). Most of the cartilage-bone interface was imaged by the UTE-based methods, to a tissue depth of about 810 µm. Pixel-by-pixel calculation of the relaxation times between the independent SE and UTE methods correlated well with each other. A better understanding of the tissue properties reliably over the cartilage-bone interface region by a non-invasive MRI approach could contribute to the clinical diagnostics of trauma-induced osteoarthritis.
- Subjects :
- Cartilage, Articular
Nuclear and High Energy Physics
Materials science
Biophysics
Articular cartilage
Osteoarthritis
Biochemistry
Bone and Bones
Article
030218 nuclear medicine & medical imaging
03 medical and health sciences
Dogs
0302 clinical medicine
medicine
Animals
Humans
Image resolution
Cartilage
Relaxation (NMR)
Resolution (electron density)
Spin–lattice relaxation
Condensed Matter Physics
medicine.disease
Magnetic Resonance Imaging
medicine.anatomical_structure
Cartilage bone
030217 neurology & neurosurgery
Biomedical engineering
Subjects
Details
- ISSN :
- 10907807
- Volume :
- 297
- Database :
- OpenAIRE
- Journal :
- Journal of Magnetic Resonance
- Accession number :
- edsair.doi.dedup.....fb7d6798cab039d95e25d78dddbd5e6c