Clustering-based linear least square fitting method for generation of parametric images in dynamic FDG PET studies
作者： Xinrui Huang , Yun Zhou , Shangliang Bao , Sung-Cheng Huang
DOI: 10.1155/2007/65641
关键词:
摘要: Parametric images generated from dynamic positron emission tomography (PET) studies are useful for presenting functional/biological information in the 3-dimensional space, but usually suffer their high sensitivity to image noise. To improve quality of these images, we proposed this study a modified linear least square (LLS) fitting method named cLLS that incorporates clustering-based spatial constraint generation parametric PET data noise levels. In method, combination K-means and hierarchical cluster analysis was used classify data. Compared with conventional LLS, can achieve statistical reliability without incurring computational burden. The effectiveness demonstrated both computer simulation human brain FDG study. is expected be
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Mark Slifstein, Marc Laruelle, Effects of statistical noise on graphic analysis of PET neuroreceptor studies. The Journal of Nuclear Medicine. ,vol. 41, pp. 2083- 2088 ,(2000)
Giuseppe Striano, Louis Sokoloff, Rosa M. Moresco, Kathleen C. Schmidt, Ferruccio Fazio, Fabio Colombo, Giovanni Lucignani, Measurement of Regional Cerebral Glucose Utilization with Fluorine-18-FDG and PET in Heterogeneous Tissues: Theoretical Considerations and Practical Procedure The Journal of Nuclear Medicine. ,vol. 34, pp. 360- 369 ,(1993)
Y. Hikimura, Y. Noshi, K. Oda, K. Ishii, Formation of parametric images in positron emission tomography using a clustering-based kinetic analysis with statistical clustering international conference of the ieee engineering in medicine and biology society. ,vol. 3, pp. 2763- 2765 ,(2001) , 10.1109/IEMBS.2001.1017357
S. C. Huang, M. E. Phelps, E. J. Hoffman, K. Sideris, C. J. Selin, D. E. Kuhl, Noninvasive determination of local cerebral metabolic rate of glucose in man American Journal of Physiology-endocrinology and Metabolism. ,vol. 238, ,(1980) , 10.1152/AJPENDO.1980.238.1.E69
Matthew Liptrot, Karen H Adams, Lars Martiny, Lars H Pinborg, Markus N Lonsdale, Niels V Olsen, Søren Holm, Claus Svarer, Gitte M Knudsen, Cluster analysis in kinetic modelling of the brain: a noninvasive alternative to arterial sampling. NeuroImage. ,vol. 21, pp. 483- 493 ,(2004) , 10.1016/J.NEUROIMAGE.2003.09.058
Yuichi Kimura, Hongbing Hsu, Hinako Toyama, Michio Senda, Nathaniel M. Alpert, Improved Signal-to-Noise Ratio in Parametric Images by Cluster Analysis☆ NeuroImage. ,vol. 9, pp. 554- 561 ,(1999) , 10.1006/NIMG.1999.0430
Jean Logan, Joanna S. Fowler, Nora D. Volkow, Yu Shin Ding, Gene-Jack Wang, David L. Alexoff, A strategy for removing the bias in the graphical analysis method. Journal of Cerebral Blood Flow and Metabolism. ,vol. 21, pp. 307- 320 ,(2001) , 10.1097/00004647-200103000-00014
G. Blomqvist, On the construction of functional maps in positron emission tomography. Journal of Cerebral Blood Flow and Metabolism. ,vol. 4, pp. 629- 632 ,(1984) , 10.1038/JCBFM.1984.89
Vincent J. Cunningham, Terry Jones, Spectral Analysis of Dynamic PET Studies Journal of Cerebral Blood Flow and Metabolism. ,vol. 13, pp. 15- 23 ,(1993) , 10.1038/JCBFM.1993.5
Richard E. Carson, Sung-Cheng Huang, Michael V. Green, Weighted integration method for local cerebral blood flow measurements with positron emission tomography Journal of Cerebral Blood Flow and Metabolism. ,vol. 6, pp. 245- 258 ,(1986) , 10.1038/JCBFM.1986.38