Performance evaluation of principal component analysis (PCA) of dynamic F-18-FDG-PET studies of patients with recurrent colorectal cancer. Principal component images (PCI) of 17 iteratively reconstructed data sets were visually and quantitatively evaluated. The F-18-FDG compartment model parameters
โฆ LIBER โฆ
Principal component analysis of FDG PET in amnestic MCI
โ Scribed by Flavio Nobili; Dario Salmaso; Silvia Morbelli; Nicola Girtler; Arnoldo Piccardo; Andrea Brugnolo; Barbara Dessi; Stig A. Larsson; Guido Rodriguez; Marco Pagani
- Book ID
- 105963522
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Weight
- 330 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0340-6997
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The distributed brain systems associated with performance of a verbal fluency task were identified in a nondirected correlational analysis of neurophysiological data obtained with positron tomography. This analysis used a recursive principal-component analysis developed specifically for large data s