By Topic

Application of factor and cluster analysis for the parametric image of myocardial blood flow using H215O and dynamic PET

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)
J. S. Lee ; Dept. of Nucl. Med. & Biomed. Eng., Seoul Nat. Univ., South Korea ; J. Y. Ahn ; D. S. Lee ; K. Seo
more authors

Although the parametric image (PI) of regional myocardial blood flow (rMBF) using H215O and PET would facilitate the numerical evaluation and the clinical visual interpretation of rMBF, low signal to noise ratio (SNR); of the time activity curve (TAC) of individual voxel in dynamic H215O PET image has made the composition of PI difficult to accomplish. The authors propose a method for PI of rMBF from H215O PET using factor analysis and cluster analysis. Factor analysis was performed to extract TACs of the right and left ventricular blood pool and their factor images. The blood pool activity was then subtracted from the original dynamic frames to remove the spillover contamination to myocardial tissue. Pure TACs in myocardial tissue were submitted to cluster analysis for PI of rMBF, which averaged voxels with the same shape TACs to increase SNR of PI and reduce calculation time. Parametric images showed good image quality and contrast in comparison to either the factor images of myocardial tissue or the subtracted imaged composed by subtracting the initial 30 seconds' images from the 2 minutes' ones. RMBF ranged 0.89-1.35 m/min/g at rest, and 1.16-3.85 at stress. Computation time was less than 1 minute on the workstation with 333 MHz CPU

Published in:

Nuclear Science Symposium Conference Record, 2000 IEEE  (Volume:3 )

Date of Conference: