An automated matching algorithm for dual orthogonal fluoroscopy

• Main Author: Bingham, Jeffrey Thomas
• Other Authors: Groan Li and Derek Rowell.
• Format: Others
• Language: English
• Published: Massachusetts Institute of Technology 2007
• Subjects: Mechanical Engineering.
• Online Access: http://hdl.handle.net/1721.1/35661

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006. === Includes bibliographical references (p. 77-81). === 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. === by Jeffrey Thomas Bingham. === S.M.