By Topic

Effect of reconstruction algorithm on parametric images in PET dynamic study: comparison between FBP and OS-EM

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)
Oda, K. ; Inst. of Gerontology, Tokyo Metropolitan Univ., Japan ; Toyama, H. ; Uemura, K. ; Ikoma, Y.
more authors

Ordered subset expectation maximization (Os-FM) algorithm is used for image reconstruction to suppress image noise and to make non-negative value images. The authors have applied OS-EM to a digital phantom and to an 18F-FDG PET kinetic study to generate parametric images. A 45 min dynamic scan was performed starting injection of 86-223 MBq of FDG using a 2D PET scanner. The images were reconstructed with OS-EM (6 iterations, 16 subsets) and with filtered backprojection (FBP), and K1, k2 and k3 images were created with Marquardt method. The activity images by Os-FM correlated fairly well with those by FBP. Although the mean values of K1, k2 and k3 for OS-EM were almost equal to those for FBP, the pixel correlation between OS-EM and FBP showed an offset from the line of identity in parametric images, possibly due to different noise characteristics. The kinetic fitting error for OS-EM was no smaller than that for FBP The results suggest that OS-EM is not necessarily superior to FBP for creating parametric images

Published in:

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

Date of Conference: