By Topic

Reconstruction for Gated Dynamic Cardiac PET Imaging Using a Tensor Product Spline Basis

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
$33 $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

5 Author(s)
Jeroen Verhaeghe ; Dept. of Electron. & Inf. Syst., Ghent Univ. ; Yves D'Asseler ; Steven Staelens ; Stefaan Vandenberghe
more authors

A maximum likelihood reconstruction algorithm for gated dynamic cardiac PET studies was developed and evaluated. A two dimensional tensor product spline basis spanning the time and gate domain is proposed. The activity variations introduced by the biochemical kinetics and cardiac motion are modeled as conic combinations of the B-spline basis functions. The basis explicitly takes the cyclic nature of the heart motion into account. We make use of the expectation-maximization (EM) algorithm to derive a closed form iteration scheme for the reconstruction. The proposed algorithm is validated through computer simulations of the dynamic NCAT beating heart phantom and the kinetics of 13N-ammonia uptake. We used the Monte Carlo simulator GATE to simulate a typical PET scanner. We qualitatively found that a reconstruction using cubic splines resulted in smoother images while better delineating the myocardial wall. Fourth order spline modeling reduced the mean squared error (MSE) of binned reconstruction by 56% whereas conventional Gaussian filtering reduced the MSE by 38%. Spline modeling in the gate domain reduced the MSE by 72% compared to a reduction of 47% obtained with filtering. Quantitative evaluation of the reconstructed motion information suggested that the number of basis functions in the gate domain could be reduced from 16 in a framed approach to 5 for reconstructions using a higher order spline interpolation

Published in:

IEEE Transactions on Nuclear Science  (Volume:54 ,  Issue: 1 )