Acquisition of 3D knee morphology under weight-bearing conditions using a C-arm CT scanner for the assessment of knee disorders
- A C-arm-based cone-beam computed tomography (CBCT) scanner with a digital flat-panel detector represents a promising imaging system for the evaluation of static 3D joint positions and orientations and cartilage bone stress in vivo under weight-bearing conditions. The C-arm system provides high-resolution (150 [mu] m isotropic) 3D volume images (i.e., a stack of slices) with superior bone contrast and highly flexible trajectories for image acquisition, and has short image acquisition times. With the use of contrast agents in CBCT imaging, accurate visualization of soft tissue structures, including the meniscus and articular cartilage, is possible. In the first part of this dissertation, new technologies that enable weight-bearing imaging using a C-arm CT system are described. First, verification of system trajectory reproducibility in the new horizontal gantry trajectory (i.e., with the axis of rotation perpendicular to the floor) is demonstrated. Image quality of static objects imaged using the new geometry is presented. Second, the impact of limited dynamic range of the detector on image quality is discussed, and a solution to overcome the limitation is provided. Finally, during imaging of a human subject in vivo in weight-bearing positions, involuntary and non-reproducible motion is significant over the 10-20s scan. This motion renders the 3D images non-diagnostic. Three new approaches to correct for knee motion have been developed, and final image quality in in vivo images of volunteers is presented. In the second part of this dissertation, the use of C-arm CT as a diagnostic tool for joint disorders such as patellofemoral pain syndrome, and knee osteoarthritis is described. Workflow for image acquisition and analysis for successful measurement of 3D patellofemoral tracking and for in vivo time-dependent cartilage deformation under full weight-bearing conditions is demonstrated.
|Type of resource
|electronic; electronic resource; remote
|1 online resource.
|Choi, Jang Hwan
|Stanford University, Department of Mechanical Engineering.
|Pelc, Norbert J
|Pelc, Norbert J
|Statement of responsibility
|Jang Hwan Choi.
|Submitted to the Department of Mechanical Engineering.
|Thesis (Ph.D.)--Stanford University, 2014.
- © 2014 by Jang Hwan Choi
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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