Compositional MRI, like T2/T2* mapping, T1rho mapping, gagCEST, dGEMRIC, sodium imaging, diffusion-weighted imaging, and diffusion-tensor imaging, provide insights into cartilage injury in KOA. These methods quantitatively measure collagen, glycosaminoglycans, and water content, revealing important information about biochemical compositional and microstructural alterations. Innovative techniques like hybrid multi-dimensional MRI and diffusion-relaxation correlation spectrum imaging show potential in depicting initial cartilage changes at a sub-voxel level. Integration of automated image analysis tools addressed limitations in manual cartilage segmentation, ensuring robust and reproducible assessments of KOA cartilage. Compositional MRI techniques reveal microstructural changes in cartilage. Multi-dimensional MR imaging assesses biochemical alterations in KOA-afflicted cartilage, aiding early degeneration identification. Integrating artificial intelligence enhances cartilage analysis, optimal diagnostic accuracy for early KOA detection and monitoring.
Keyphrases
- contrast enhanced
- diffusion weighted imaging
- extracellular matrix
- artificial intelligence
- high resolution
- knee osteoarthritis
- magnetic resonance imaging
- deep learning
- machine learning
- computed tomography
- big data
- healthcare
- gene expression
- single molecule
- single cell
- mass spectrometry
- human health
- protein kinase
- genome wide
- high density
- loop mediated isothermal amplification