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Proceedings Paper

Use of the wavelet transform to investigate differences in brain PET images between patient groups
Author(s): Urs E. Ruttimann; Michael A. Unser; Daniel E. Rio; Robert R. Rawlings
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Paper Abstract

Suitability of the wavelet transform was studied for the analysis of glucose utilization differences between subject groups as displayed in PET images. To strengthen statistical inference, it was of particular interest investigating the tradeoff between signal localization and image decomposition into uncorrelated components. This tradeoff is shown to be controlled by wavelet regularity, with the optimal compromise attained by third-order orthogonal spline wavelets. Testing of the ensuing wavelet coefficients identified only about 1.5% as statistically different (p < .05) from noise, which then served to resynthesize the difference images by the inverse wavelet transform. The resulting images displayed relatively uniform, noise-free regions of significant differences with, due to the good localization maintained by the wavelets, very little reconstruction artifacts.

Paper Details

Date Published: 23 June 1993
PDF: 12 pages
Proc. SPIE 2035, Mathematical Methods in Medical Imaging II, (23 June 1993); doi: 10.1117/12.146601
Show Author Affiliations
Urs E. Ruttimann, National Institutes of Health (United States)
Michael A. Unser, National Institutes of Health (United States)
Daniel E. Rio, National Institutes of Health (United States)
Robert R. Rawlings, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 2035:
Mathematical Methods in Medical Imaging II
Joseph N. Wilson; David C. Wilson, Editor(s)

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