An automated matching algorithm for dual orthogonal fluoroscopy
Name
76766247-MIT.pdf
Description
Full printable version
Size
7.46 MB
Format
Adobe PDF
Checksum (MD5)
035fcdb73cb446d657712dd3318f7254
Author(s)
Bingham, Jeffrey Thomas
Advisor(s)
Groan Li and Derek Rowell.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
The current method of studying in vivo kinematics of human joints is a tedious and time consuming task. Current techniques require the segmentation of hundreds of raster images, often by hand, and registration of three-dimensional models with two-dimensional contours. Automation of these processes would greatly accelerate research in this field. This research presents an automated method for recovering the pose of a three dimensional model from planar contours. Validation of the algorithm and discussion of its performance and applicability are detailed herein.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
Includes bibliographical references (p. 77-81).
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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