DocumentCode
438158
Title
Statistical error analysis based on non-parametric bootstrap method of quantitative MBF measurement with H215O_PET
Author
Kawachi, Naoki ; Watabe, Hiroshi ; Teramoto, N. ; Ohta, Yoshichika ; Jino, H. ; Kudimo, N. ; Koshino, Keiji ; Kim, K.M. ; Hayashi, Teruaki ; Iida, Hiroyuki
Author_Institution
SHI Accelerator Service Ltd., Tokyo, Japan
Volume
4
fYear
2004
fDate
16-22 Oct. 2004
Firstpage
2660
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.
Keywords
blood flow measurement; error analysis; patient diagnosis; positron emission tomography; statistical analysis; diagnosis; myocardial blood flow measurement; nonparametric bootstrap method; pixel values; positron emission tomography; scan-duration time; standard deviation; statistical error analysis; Blood flow; Error analysis; Fluid flow measurement; Myocardium; Parameter estimation; Performance evaluation; Pixel; Positron emission tomography; Statistics; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2004 IEEE
ISSN
1082-3654
Print_ISBN
0-7803-8700-7
Type
conf
DOI
10.1109/NSSMIC.2004.1462798
Filename
1462798
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