Conference Proceeding

Statistical error analysis based on non-parametric bootstrap method of quantitative MBF measurement with H<sub>2</sub><sup>15</sup>O_PET

SHI Accelerator Service Ltd., Tokyo, Japan;
11/2004; DOI:10.1109/NSSMIC.2004.1462798 ISBN: 0-7803-8700-7 In proceeding of: Nuclear Science Symposium Conference Record, 2004 IEEE, Volume: 4
Source: IEEE Xplore

ABSTRACT Knowledge of the precision in the physiological parameters estimated by positron emission tomography (PET) is helpful for optimizing PET study and accurate diagnosis. Nonparametric bootstrap method proposed by Buvat is resampling techniques that can be used to accurately estimate the statistical properties of PET images in one scan and determine statistics of pixel values. The standard deviation (SD) of time activity curves (TAC) generated by region of interests (ROI) also are estimated by using the bootstrap method and the SD would propagate to estimated parameters such as blood flow. In order to evaluate the present method, a PET study for myocardial blood flow (MBF) measurement with H215O_PET was performed. The statistical properties of MBF were estimated and the effects of scan-duration time and ROI size on the SD of MBF were developed.

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Keywords

accurate diagnosis
 
blood flow
 
Buvat
 
MBF
 
myocardial blood flow
 
optimizing PET study
 
PET images
 
PET study
 
physiological parameters
 
pixel values
 
positron emission tomography
 
scan
 
scan-duration time
 
standard deviation
 
statistical properties
 
TAC
 
time activity curves