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

A new method of computer-aided feature identification for lesion detection in PET-FDG dynamic study

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

2 Author(s)
Chung-Chieh Huang ; Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Xiaoli Yu

Computer-aided feature identification in PET-FDG dynamic data is crucial to assist visual inspection for small lesion detection. It has been shown that the kinetic features of time activity curves (TAG) have the following properties: (a) linearly representable by a set of exponential functions, (b) physiologically distinguishable as lesion and normal tissue subspaces, (c) readily incorporable to a matched subspace detector for lesion detection. To identify the TAC subspace features, the least square error (LSE) method is often used to determine the lesion and normal tissue subspaces respectively The subspaces resulted from the LSE are optimum in terms of the fidelity to the observed data, but they may suffer from a lack of the separability between subspaces. Here, a new method is proposed to maximize the distance (separability) between lesion and normal tissue subspaces under the constraint that the LSE (fidelity) of the estimated and observed TACs is less than a given value. Such identified subspaces are incorporated into a matched subspace detector for lesion detection. Results showed that the subspaces identified by the proposed method from known lesion and normal tissues mostly preserve the TAC kinetic features and increase the contrast of the small lesion to normal tissues compared to the LSE-only method

Published in:

Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE  (Volume:3 )

Date of Conference:

1999

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.