3D kinematics of the tarsal joints from magnetic resonance images

Bruce Elliot Hirsch; Jayaram K. Udupa; Enyi Okereke; Howard J. Hillstrom; Sorin Siegler; Stacie I. Ringleb; Carl W. Imhauser

doi:10.1117/12.440264

18 September 2001 3D kinematics of the tarsal joints from magnetic resonance images

Bruce Elliot Hirsch, Jayaram K. Udupa, Enyi Okereke, Howard J. Hillstrom, Sorin Siegler, Stacie I. Ringleb, Carl W. Imhauser

Author Affiliations +

Proceedings Volume 4549, Medical Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.440264
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

We have developed a method for analyzing motion at skeletal joints based on the 3D reconstruction of magnetic resonance (MR) image data. Since the information about each voxel in MR images includes its location in the scanner, it follows that information is available for each organ whose 3D surface is computed from a series of MR slices. In addition, there is information on the shape and orientation of each organ, and the contact areas of adjacent bones. By collecting image data in different positions we can calculate the motion of the individual bones. We have used this method to study human foot bones, in order to understand normal and abnormal foot function. It has been used to evaluate patients with tarsal coalitions, various forms of pes planus, ankle sprains, and several other conditions. A newly described feature of this system is the ability to visualize the contact area at a joint, as determined by the region of minimum distance. The display of contact area helps understand abnormal joint function. Also, the use of 3D imaging reveals motions in joints which cannot otherwise be visualized, such as the subtalar joint, for more accurate diagnosis of joint injury.

Citation Download Citation

Bruce Elliot Hirsch, Jayaram K. Udupa, Enyi Okereke, Howard J. Hillstrom, Sorin Siegler, Stacie I. Ringleb, and Carl W. Imhauser "3D kinematics of the tarsal joints from magnetic resonance images", Proc. SPIE 4549, Medical Image Acquisition and Processing, (18 September 2001); https://doi.org/10.1117/12.440264

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available