Early imaging of cartilage injury is an important step in joint preservation surgery and the development of new therapeutic strategies to restore and regenerate articular cartilage. Radiographs are the gold standard in osteoarthritis imaging, but indirectly image cartilage. New techniques in quantitative MRI have the ability to directly image the molecular structure of cartilage and predict arthritis development. Our group has engaged in clinical studies working with the National Institute of Health’s Osteoarthritis Initiative to develop classification software to identify imaging biomarkers in recognizing the development of and early progression of arthritis. This work has resulted in a pending United States patent.
Important software developed by our group includes ImageK – A program useful for multimodality rigid registration of three-dimensional MRI images. This is an important pre-processing step in using multiple qMRI image sequences in knee articular cartilage analysis. The software is freely available here.
- Zhong H, Miller DJ, Urish KL. (2016) T2 Map Signal Variation Predicts Symptomatic Osteoarthritis Progression: Data from the Osteoarthritis Initiative. Skeletal Radiology. 45(7) 909-913. PubMed PMID: 26992910.
- Urish KL, Keffalas MG, Durkin J, Miller DJ, Chu CR, Mosher, TJ. (2015) T2 texture index of cartilage can predict early symptomatic OA progression: Data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 21(10), 1550-1557. PubMed PMID: 23774471.
- Urish KL, Williams A, Durkin J, Chu, CR, OAI Investigators Group. (2013) Registration of magnetic resonance image series for knee articular cartilage analysis: Data from the Osteoarthritis Initiative. Cartilage, 4(1) 20-27. PubMed PMID: 23997865.
- Durkin J, Miller DJ, Urish KL. (2011) Creating a 2D active shape model using itk::ImagePCAShapeModelEstimator. Insight Journal, //hdl.handle.net/10380/3282.