DocumentCode
2028753
Title
A Visualization Tool to convey Quantitative in vivo, 3D Knee Joint Kinematics
Author
Seisler, Andrea R. ; Sheehan, Frances T.
Author_Institution
Phys. Disabilities Branch, Nat. Institutes of Health, Bethesda, MD
fYear
2006
fDate
11-13 Oct. 2006
Firstpage
18
Lastpage
18
Abstract
The overall goal of the virtual functional anatomy (VFA) project is to fill the important knowledge gap that exists in the relationship between functional movement limitations and impaired joint structure or function. Thus, a set of imaging-based post-processing tools is under development to enable dynamic and static magnetic resonance image (MRI) data to be merged. These tools will provide accurate quantification and visualization of 3D static and dynamic properties of musculoskeletal anatomy (i.e. skeletal kinematics, tendon and ligament strain, muscle force, cartilage contact). The current focus is to apply the six-degree of freedom joint kinematics to subject specific models and to quantify dynamic musculoskeletal properties, such as tendon moment arm, muscle moment arms, joint cartilage contact and tendon strain. To date, these tools have been used to study joint function of healthy and impaired (e.g. Cerebral Palsy, ACL rupture and patellar tracking syndrome) joint structures under simulated conditions experienced during activities of daily living.
Keywords
biomechanics; biomedical MRI; bone; data visualisation; image registration; kinematics; medical image processing; muscle; orthopaedics; 3D knee joint kinematics; MRI data; freedom joint kinematics; functional movement; imaging-based post-processing tools; impaired joint structure; joint cartilage contact; muscle moment arms; musculoskeletal anatomy; static magnetic resonance image; tendon moment arm; tendon strain; virtual functional anatomy project; visualization tool; Anatomy; In vivo; Joints; Kinematics; Knee; Magnetic resonance; Muscles; Musculoskeletal system; Tendons; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE
Conference_Location
Washington, DC
ISSN
1550-5219
Print_ISBN
0-7695-2739-6
Electronic_ISBN
1550-5219
Type
conf
DOI
10.1109/AIPR.2006.8
Filename
4133960
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