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.

Public Health Relevance

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.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Specialized Center (P50)
Project #
5P50AR060752-03
Application #
8535530
Study Section
Special Emphasis Panel (ZAR1-KM)
Project Start
Project End
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
3
Fiscal Year
2013
Total Cost
$212,285
Indirect Cost
$41,479
Name
University of California San Francisco
Department
Type
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Lee, Sonia; Nardo, Lorenzo; Kumar, Deepak et al. (2015) Scoring hip osteoarthritis with MRI (SHOMRI): A whole joint osteoarthritis evaluation system. J Magn Reson Imaging 41:1549-57
Liebl, Hans; Heilmeier, Ursula; Lee, Sonia et al. (2015) In vitro assessment of knee MRI in the presence of metal implants comparing MAVRIC-SL and conventional fast spin echo sequences at 1.5 and 3 T field strength. J Magn Reson Imaging 41:1291-9
Subburaj, Karupppasamy; Souza, Richard B; Wyman, Bradley T et al. (2015) Changes in MR relaxation times of the meniscus with acute loading: An in vivo pilot study in knee osteoarthritis. J Magn Reson Imaging 41:536-43
Lansdown, Drew A; Zaid, Musa; Pedoia, Valentina et al. (2015) Reproducibility measurements of three methods for calculating in vivo MR-based knee kinematics. J Magn Reson Imaging 42:533-8
Serebrakian, Arman T; Poulos, Theresa; Liebl, Hans et al. (2015) Weight loss over 48 months is associated with reduced progression of cartilage T2 relaxation time values: data from the osteoarthritis initiative. J Magn Reson Imaging 41:1272-80
Chaudhari, Abhijit J; Leahy, Richard M; Wise, Barton L et al. (2014) Global point signature for shape analysis of carpal bones. Phys Med Biol 59:961-73
Katzman, Wendy B; Miller-Martinez, Dana; Marshall, Lynn M et al. (2014) Kyphosis and paraspinal muscle composition in older men: a cross-sectional study for the Osteoporotic Fractures in Men (MrOS) research group. BMC Musculoskelet Disord 15:19
Souza, R B; Kumar, D; Calixto, N et al. (2014) Response of knee cartilage T1rho and T2 relaxation times to in vivo mechanical loading in individuals with and without knee osteoarthritis. Osteoarthritis Cartilage 22:1367-76
Wise, Barton L; Parimi, Neeta; Zhang, Yuqing et al. (2014) Frailty and hip osteoarthritis in men in the MrOS cohort. J Gerontol A Biol Sci Med Sci 69:602-8
Boissonneault, A; Lynch, J A; Wise, B L et al. (2014) Association of hip and pelvic geometry with tibiofemoral osteoarthritis: multicenter osteoarthritis study (MOST). Osteoarthritis Cartilage 22:1129-35

Showing the most recent 10 out of 35 publications