Share Email Print
cover

Proceedings Paper

Generalized linear least squares method for estimating myocardial blood flow with N-13 ammonia positron emission tomography
Author(s): Kewei Chen; Sung-Cheng Huang; Michael Lawson; Eric M. Reiman; Dagan David Feng; Dino Ho; Daniel Bandy; Langsheng Yun; Karl Sun; Anita Palant
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

We investigated the use of the Generalized Linear Least Squares (GLLS) method for fast estimation of myocardial blood flow (MBF) with N-13 ammonia Positron Emission Tomography (PET). GLLS was based on a high order integral equation converted from the state variable differential equations describing the kinetics of a PET tracer. Two error sources, spillover and the measurement noise, were studied. The estimation of the spillover coefficients between plasma time activity curve (TAC) and tissue TAC was incorporated into the GLLS. The GLLS procedure was modified accordingly. It was found, in computer simulation, that spillover correction incorporated GLLS provided as reliable MBF estimation as the model fitting method accounting for spillover. Since the linear kinetic model relating the plasma TAC to the tissue TAC was equivalent to the one relating the integral of plasma TAC (accumulated counts) to the integral of the tissue TAC, the GLLS method could be directly applied to the accumulated PET counts. It was found that the direct use of the accumulated counts reduced the random fluctuation observed in TAC data from PET images; and that this noise reduction significantly improved the accuracy of estimated MBF.

Paper Details

Date Published: 8 April 1996
PDF: 10 pages
Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996); doi: 10.1117/12.237864
Show Author Affiliations
Kewei Chen, Good Samaritan Regional Medical Ctr. and Univ. of Arizona (United States)
Sung-Cheng Huang, UCLA School of Medicine (United States)
Michael Lawson, Good Samaritan Regional Medical Ctr. (United States)
Eric M. Reiman, Good Samaritan Regional Medical Ctr. (United States)
Dagan David Feng, Univ. of Sydney (Australia)
Dino Ho, Univ. of Sydney (Australia)
Daniel Bandy, Good Samaritan Regional Medical Ctr. (United States)
Langsheng Yun, Good Samaritan Regional Medical Ctr. (United States)
Karl Sun, UCLA School of Medicine (United States)
Anita Palant, Good Samaritan Regional Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 2709:
Medical Imaging 1996: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

© SPIE. Terms of Use
Back to Top