<mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-4.xsd">
<mods:titleInfo>
<mods:title>Bi-planar videoradiography for tracking post-arthroplasty shoulder joint motion</mods:title>
</mods:titleInfo>
<mods:abstract>With the number of shoulder arthroplasty procedures reaching well into the thousands in the United States every year, there is a need for tools that can reliably and consistently measure three-dimensional in-vivo skeletal motion in patients with joint implants. Bi-planar videoradiography may provide a solution to common problems encountered when quantify in-vivo joint kinematics. Directly tracking bone motion with the use of x-ray imaging avoids the limitations inherent in conventional optical motion capture systems, which have skin-based marker sets that can cause soft tissue artifact and lead to inaccuracies. One cadaveric humerus bone with implant was attached to a custom designed pendulum and jig and studied using the W.M. Keck XROMM Facility’s bi-planar videoradiography system. Marker-less tracking was performed using the semi-automated tracking algorithms of the Autoscoper software. Marker-based tracking was performed using implanted tantalum beads and the custom Matlab program XrayProjects. A Qualisys Optical Motion Capture system utilizing infrared cameras and reflective beads served as the independent gold standard for error evaluation. For marker-less tracking, translation data was accurate within 0.2 mm, and rotation data was accurate within 0.8 degrees. For marker-based tracking, translation data was accurate within 0.2 mm, and rotation data was accurate within 0.7 degrees. Error values are in close agreement with the results of previous studies [1]. The data presented supports the use of bi-planar videoradiography for studying the kinematics of the shoulder joint in shoulder arthroplasty patients. Further research will employ bi-planar videoradiography to track in-vivo joint motion in human subjects.</mods:abstract>
<mods:name type="personal">
<mods:namePart>Stylianou, Alexia</mods:namePart>
<mods:role>
<mods:roleTerm>creator</mods:roleTerm>
</mods:role>
</mods:name>
<mods:name type="corporate">
<mods:namePart>Brown University. Undergraduate Teaching and Research Awards</mods:namePart>
<mods:role>
<mods:roleTerm>research program</mods:roleTerm>
</mods:role>
</mods:name>
<mods:name type="personal">
<mods:namePart>Crisco, Joseph</mods:namePart>
<mods:role>
<mods:roleTerm>advisor</mods:roleTerm>
</mods:role>
<mods:affiliation>Brown University. Department of Biomedical Engineering</mods:affiliation>
</mods:name>
<mods:originInfo>
<mods:publisher>Brown University</mods:publisher>
<mods:dateCreated encoding="w3cdtf">2014-08-07</mods:dateCreated>
<mods:place>
<mods:placeTerm type="text">Providence</mods:placeTerm>
</mods:place>
</mods:originInfo>
<mods:genre authority="aat">posters</mods:genre>
<mods:subject authority="local">
<mods:topic>Videoradiography</mods:topic>
</mods:subject>
<mods:subject authority="local">
<mods:topic>Accuracy</mods:topic>
</mods:subject>
<mods:subject authority="local">
<mods:topic>Implant</mods:topic>
</mods:subject>
<mods:identifier type="doi">10.26300/2sjv-m061</mods:identifier><mods:typeOfResource>text</mods:typeOfResource></mods:mods>