Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Direct reconstruction of kinetic parameter images from dynamic PET data

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

4 Author(s)
Kamasak, M. ; Electr. & Comput. Eng. Dept., Purdue Univ., West Lafayette, IN, USA ; Bouman, C.A. ; Morris, E.D. ; Sauer, K.

It is often necessary to estimate the parameters of a compartmental model from PET image data. These kinetic parameters are important because they quantify physiological processes. Existing methods for computing kinetic parametric images work by first reconstructing a sequence of PET images, and then estimating the kinetic parameters for each voxel location in the images. We propose a novel iterative tomographic reconstruction algorithm for directly computing a MAP estimate of the kinetic parameter image directly from dynamic PET sinogram data. This MAP reconstruction process estimates a vector of kinetic parameters at each voxel using explicit models of measurement noise, temporal tracer concentration, and spatial parameter variation. Experimental simulations using a two tissue compartment model show that our method can substantially reduce parameter estimation error.

Published in:

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on  (Volume:2 )

Date of Conference:

9-12 Nov. 2003