Cart (Loading....) | Create Account
Close category search window

Feasibility of tracking patient respiration during cardiac SPECT imaging using stereo optical cameras

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)

Patient motion, which causes artifacts in reconstructed images, can be a serious problem in SPECT imaging. If patient motion can be detected and quantified, the reconstruction algorithm can compensate for the motion. Our approach is based on optical tracking of the patient using a pair of Web cameras to acquire stereo images. The cameras, mounted outside a SPECT system, acquire optical images simultaneously with the emission projections. The patient wears a stretchable, close-fitting garment that includes easily detected features. The Web cameras view the features, from which a surface map is computed using stereo techniques. When the patient moves, the surface map is recomputed, the patient surface is tracked, and a description of the motion is computed. Later processing stages can use the motion information to correct the tomographic reconstruction, for example, by rebinning acquired projection data. In this investigation, we examined whether patient respiratory motion can be detected using this approach. We have found that features can be reliably tracked over time. Feature motion as computed from stereo measurements was compared with patient respiration measured independently using a pneumatic bellows. The two sources of motion information were found to be highly correlated, demonstrating that stereo optical imaging can detect patient motion. Lastly, we have been able to compute translational and rotational motion parameters to describe respiratory motion.

Published in:

Nuclear Science Symposium Conference Record, 2003 IEEE  (Volume:5 )

Date of Conference:

19-25 Oct. 2003

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.