An automated matching algorithm for dual orthogonal fluoroscopy

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Mechanical Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2006

Author dc:creator

• Bingham, Jeffrey Thomas

Advisor dc:contributor.advisor

• Groan Li and Derek Rowell.

• Mechanical Engineering.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/35661

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/35661