DocumentCode
1705366
Title
A bootstrap approach for analyzing the statistical properties of SPECT and PET images
Author
Buvat, Irene ; Riddell, Cyril
Author_Institution
U494 INSERM, Paris, France
Volume
3
fYear
2001
Firstpage
1419
Abstract
We describe a non-parametric bootstrap method to estimate the statistical properties of single photon emission computed tomography (SPECT) and positron emission tomography (PET) images, whatever the type of noise in the projections and the reconstruction algorithm. Using analytical simulations and real PET data, this method is shown to accurately predict the statistical distribution, hence the variance, of reconstructed pixel values for both linear and nonlinear reconstruction algorithms.
Keywords
positron emission tomography; single photon emission computed tomography; statistical analysis; PET; SPECT; bootstrap method; linear reconstruction algorithms; noise; nonlinear reconstruction algorithms; reconstruction algorithm; statistical distribution; variance; Algorithm design and analysis; Analysis of variance; Analytical models; Computational modeling; Image analysis; Positron emission tomography; Predictive models; Reconstruction algorithms; Single photon emission computed tomography; Statistical distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2001 IEEE
ISSN
1082-3654
Print_ISBN
0-7803-7324-3
Type
conf
DOI
10.1109/NSSMIC.2001.1008603
Filename
1008603
Link To Document