DocumentCode :
1843435
Title :
Enhanced formation of parametric images using fast regressive GLLS for noisy functional imaging
Author :
Lingfeng Wen ; Eberl, S. ; Jing Bai ; Dagan Feng
Author_Institution :
Univ. of Sydney, Sydney
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
4177
Lastpage :
4180
Abstract :
Parametric images derived in functional imaging can visualize the spatial distribution of physiological parameters in vivo. However, the high level of noise intrinsic in single photon emission computed tomography (SPECT) may lead to physiologically meaningless parameter estimates such as negative kinetic rate constants using the generalized linear least squares (GLLS) method for compartmental model fitting. In this study, an enhanced GLLS method using fast regressive adjustment of parameters was investigated for improving the reliability of GLLS applied to dynamic SPECT data. Monte Carlo simulation data were used to systematically evaluate accuracy and reliability of derived parametric images. The simulation and experimental results demonstrate that the enhanced GLLS method can achieve more reliable parametric images, while largely preserving computational efficiency.
Keywords :
Monte Carlo methods; least squares approximations; medical image processing; regression analysis; single photon emission computed tomography; Monte Carlo simulation; SPECT; compartmental model fitting; enhanced GLLS method; enhanced parametric image formation; fast regressive GLLS; fast regressive parameter adjustment; generalized linear least squares; noisy functional imaging; parametric image accuracy; parametric image reliability; physiological parameter spatial distribution; single photon emission computed tomography; Computational efficiency; Image analysis; In vivo; Information technology; Kinetic theory; Least squares approximation; Noise level; Parameter estimation; Positron emission tomography; Single photon emission computed tomography; Algorithms; Image Processing, Computer-Assisted; Kinetics; Models, Theoretical; Monte Carlo Method; Tomography, Emission-Computed, Single-Photon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4353257
Filename :
4353257
Link To Document :
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