Optimized data preprocessing for multivariate analysis applied to 99mTc-ECD SPECT data sets of Alzheimer's patients and asymptomatic controls.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
Dorit MerhofK Herholz

Abstract

Multivariate image analysis has shown potential for classification between Alzheimer's disease (AD) patients and healthy controls with a high-diagnostic performance. As image analysis of positron emission tomography (PET) and single photon emission computed tomography (SPECT) data critically depends on appropriate data preprocessing, the focus of this work is to investigate the impact of data preprocessing on the outcome of the analysis, and to identify an optimal data preprocessing method. In this work, technetium-99methylcysteinatedimer ((99m)Tc-ECD) SPECT data sets of 28 AD patients and 28 asymptomatic controls were used for the analysis. For a series of different data preprocessing methods, which includes methods for spatial normalization, smoothing, and intensity normalization, multivariate image analysis based on principal component analysis (PCA) and Fisher discriminant analysis (FDA) was applied. Bootstrap resampling was used to investigate the robustness of the analysis and the classification accuracy, depending on the data preprocessing method. Depending on the combination of preprocessing methods, significant differences regarding the classification accuracy were observed. For (99m)Tc-ECD SPECT data, the optimal data...Continue Reading

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Citations

Jul 7, 2011·International Psychogeriatrics·Karl Herholz
Jul 5, 2011·Journal of Neuroradiology. Journal De Neuroradiologie·M T DoelkenT Hammen
Feb 23, 2011·NeuroImage·P J MarkiewiczUNKNOWN Alzheimer's Disease Neuroimaging Initiative (ADNI)
Jul 16, 2013·Journal of Lipid Research·Hermelindis RuhCarsten Hopf
Mar 15, 2019·Veterinary Pathology·Abdullah AwayshehKurt L Zimmerman
Jul 28, 2011·NMR in Biomedicine·Teodora-Adriana Perles-BarbacaruRussell E Jacobs
Jan 5, 2011·International Journal of Alzheimer's Disease·Markus WeihTorsten Kuwert

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Methods Mentioned

BETA
PCA

Software Mentioned

SPM
MATLAB
Neurological Statistical Image Analysis Software ( NEUROSTAT )
FDA

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