DocumentCode
935970
Title
An approximation formula for the variance of PET region-of-interest values
Author
Carson, R.E. ; Yan, Y. ; Daube-Witherspoon, M.E. ; Freedman, N. ; Bacharach, S.L. ; Herscovitch, P.
Author_Institution
PET Dept., Nat. Inst. of Health, Bethesda, MD, USA
Volume
12
Issue
2
fYear
1993
fDate
6/1/1993 12:00:00 AM
Firstpage
240
Lastpage
250
Abstract
An approximation formula for the variance of positron emission tomography (PET) region-of-interest (ROI) values has been developed, implemented, and evaluated. This formula does not require access to the original projection data and is therefore convenient for routine use. The formula was derived by applying successive approximations to the filtered-backprojection reconstruction algorithm. ROI variance is estimated from the product of mean pixel variance within the region and a term accounting for the intercorrelation of all pixel pairs inside the region. The formula accounts for radioactivity distribution, attenuation, randoms, scatter, deadtime, detector normalization, scan length, decay, and reconstruction filter. The algorithm was tested by comparison to the exact ROI variance as calculated with Huesman´s algorithm. Tests with scan data from phantoms, animals, and humans obtained on the Scanditronix PC2048-15B tomograph showed the approximation formula to be accurate to within ±10%
Keywords
computerised tomography; radioisotope scanning and imaging; PET region-of-interest values; Scanditronix PC2048-15B tomograph; algorithm; animals; approximation formula; detector normalization; humans; mean pixel variance; medical diagnostic imaging; nuclear medicine; phantoms; positron emission tomography; radioactivity distribution; reconstruction filter; scan length; Animals; Attenuation; Detectors; Filters; Humans; Imaging phantoms; Positron emission tomography; Reconstruction algorithms; Scattering; Testing;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.232252
Filename
232252
Link To Document