The purpose of the Imaging and Data Analysis Core (IDAC) is to provide all projects in the TOQIO with the infrastructure, expertise and tools to support customized imaging acquisition as well as image and data analysis, including 1) imaging sequence development, 2) image reconstruction and processing, 3) semi-quantitative clinical grading of images, 4) quantitative image analysis, 5) data integration and database development, and 6) statistical data analysis. Many of the procedures needed to provide this capability are novel and require specialized knowledge of imaging physics and mathematics as well as clinical aspects of osteoarthritis. This will require a close interaction between the researchers developing new imaging methodologies, computing specialists who develop reconstruction algorithms and software tools to perform quantitative analyses of the data, radiologists and other clinical investigators who will grade the images, and biostatisticians who contribute to the experimental design, hypothesis formulation and statistical analysis. It is anticipated that the Core will not only provide support for the four research projects and other pilot projects within the TOQIO, but will also act as a catalyst for introducing these technologies into a broad range of musculoskeletal translational research projects, throughout UCSF and its Clinical and Translational Science Institute (CTSI) and through the UC Davis Medical Center and its Clinical and Translational Science Center and other forms of outreach. The IDAC has three primary aims: 1) To provide quantitative magnetic resonance imaging sequences for tissues involved in osteoarthritis;2) To provide image grading and quantitative analysis;3) To provide Interpretation and statistical analysis of imaging and clinical data. The investigators involved in IDAC have established backgrounds in translational and basic research, including expertise in imaging sequence development, image processing, algorithm development, quantitative image analysis, MR and radiograph clinical grading and statistical analysis, with a focus on osteoarthritis. They have been performing studies that require similar expertise to the ones described in this application for many years and have developed a rapport that is critical for the highly collaborative and demanding studies that are being proposed. IDAC is also committed to disseminating information pertaining to the capabilities of the Core, increasing research collaborations, and providing educational sessions to major, minor users, residents, fellows and students. Its overarching goal will be to promote adoption of state-of-the-art imaging methodology in musculoskeletal research. In addition to the UCSF and UC Davis Medical Centers, the research images, software and data generated by TOQIO will be also available to researchers at other academic institutes upon request and with required paperwork.
The purpose of the Imaging and Data Analysis Core (IDAC) is to provide all projects in the TOQIO with the infrastructure, expertise and tools to support customized imaging acquisition as well as image and data analysis. IDAC is also committed to the dissemination of information pertaining to the capabilities of the Core, and to promoting the adoption of state-of-the-art imaging methodology in musculoskeletal research.
|Wang, Amy; Pedoia, Valentina; Su, Favian et al. (2016) MR T1Ï and T2 of meniscus after acute anterior cruciate ligament injuries. Osteoarthritis Cartilage 24:631-9|
|Nelson, Amanda E; Golightly, Yvonne M; Renner, Jordan B et al. (2016) Variations in Hip Shape Are Associated with Radiographic Knee Osteoarthritis: Cross-sectional and Longitudinal Analyses of the Johnston County Osteoarthritis Project. J Rheumatol 43:405-10|
|Pandit, Prachi; Talbott, Jason F; Pedoia, Valentina et al. (2016) T1Ï and T2 -based characterization of regional variations in intervertebral discs to detect early degenerative changes. J Orthop Res 34:1373-81|
|Joshi, Anand A; Leahy, Richard M; Badawi, Ramsey D et al. (2016) Registration-Based Morphometry for Shape Analysis of the Bones of the Human Wrist. IEEE Trans Med Imaging 35:416-26|
|Schwaiger, Benedikt J; Gersing, Alexandra S; Mbapte Wamba, John et al. (2016) Can Signal Abnormalities Detected with MR Imaging in Knee Articular Cartilage Be Used to Predict Development of Morphologic Cartilage Defects? 48-Month Data from the Osteoarthritis Initiative. Radiology 281:158-67|
|Kretzschmar, M; Heilmeier, U; Yu, A et al. (2016) Longitudinal analysis of cartilage T2 relaxation times and joint degeneration in African American and Caucasian American women over an observation period of 6 years - data from the Osteoarthritis Initiative. Osteoarthritis Cartilage 24:1384-91|
|Russell, Colin; Pedoia, Valentina; Amano, Keiko et al. (2016) Baseline cartilage quality is associated with voxel-based T1Ï and T2 following ACL reconstruction: A multicenter pilot study. J Orthop Res :|
|Pedoia, Valentina; Su, Favian; Amano, Keiko et al. (2016) Analysis of the articular cartilage T1Ï and T2 relaxation times changes after ACL reconstruction in injured and contralateral knees and relationships with bone shape. J Orthop Res :|
|Lau, Brian C; Thuillier, Daniel U; Pedoia, Valentina et al. (2016) Inter- and intra-rater reliability of patellofemoral kinematic and contact area quantification by fast spin echo MRI and correlation with cartilage health by quantitative T1Ï MRI. Knee 23:13-9|
|An, H; Marron, J S; Schwartz, T A et al. (2016) Novel statistical methodology reveals that hip shape is associated with incident radiographic hip osteoarthritis among African American women. Osteoarthritis Cartilage 24:640-6|
Showing the most recent 10 out of 118 publications