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
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