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Proceedings Paper

Study of statistical methods applied in the spatial, wavelet and Fourier domain to enhance and analyze group characteristics of images: application to positron emission tomography brain images
Author(s): Daniel E. Rio; Robert R. Rawlings; Urs E. Ruttimann; Reza Momenan
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Paper Abstract

Statistical methods in the spatial, wavelet and Fourier domain were applied to two groups of subjects imaged by PET. Furthermore, simulated PET images were created to study the behaviour of these tests under restricted conditions. In particular, a rigorous statistical model in the Fourier domain was used to study general properties of group images, image enhancement and discrimination as it pertains to classification. In the spatial domain, detection of localized differences between groups is presented by applying the recent extension of the theory of Gaussian random fields to medical imaging. Finally, comparisons are made of the Fourier, spatial and wavelet domain methods for detection of localized differences between groups.

Paper Details

Date Published: 8 July 1994
PDF: 13 pages
Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); doi: 10.1117/12.179250
Show Author Affiliations
Daniel E. Rio, National Institutes of Health (United States)
Robert R. Rawlings, National Institutes of Health (United States)
Urs E. Ruttimann, National Institutes of Health (United States)
Reza Momenan, MedData Research (United States)


Published in SPIE Proceedings Vol. 2299:
Mathematical Methods in Medical Imaging III
Fred L. Bookstein; James S. Duncan; Nicholas Lange; David C. Wilson, Editor(s)

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