DocumentCode :
2197196
Title :
Anatomical based FDG-PET reconstruction for the detection of hypometabolic regions in epilepsy
Author :
Baete, Kristof ; Nuyts, Johan ; Van Paesschen, Wim ; Suetens, Paul ; Dupont, Patrick
Author_Institution :
Dept. of Nucl. Medicine, Univ. Hosp. Gasthuisberg, Leuven, Belgium
Volume :
3
fYear :
2002
fDate :
10-16 Nov. 2002
Firstpage :
1481
Abstract :
Positron emission tomography (PET) of the cerebral glucose metabolism has shown to be useful in the presurgical evaluation of patients with epilepsy. An iterative reconstruction algorithm is derived for the detection of subtle hypometabolic regions in FDG-PET images of the brain of epilepsy patients. Prior anatomical information, derived from MR data, and pathophysiological knowledge was included in the reconstruction algorithm. Results showed an improved signal-to-noise ratio and a reduction of bias.
Keywords :
diseases; iterative methods; positron emission tomography; FDG-PET; bias; cerebral glucose metabolism; epilepsy; hypometabolic regions; iterative reconstruction algorithm; signal-to-noise ratio; Biochemistry; Epilepsy; Hospitals; Image reconstruction; Image segmentation; Iterative algorithms; Positron emission tomography; Reconstruction algorithms; Signal to noise ratio; Sugar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2002 IEEE
Print_ISBN :
0-7803-7636-6
Type :
conf
DOI :
10.1109/NSSMIC.2002.1239601
Filename :
1239601
Link To Document :
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