Paper
23 June 1993 Use of the wavelet transform to investigate differences in brain PET images between patient groups
Urs E. Ruttimann, Michael A. Unser, Daniel E. Rio, Robert R. Rawlings
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Urs E. Ruttimann, Michael A. Unser, Daniel E. Rio, and Robert R. Rawlings "Use of the wavelet transform to investigate differences in brain PET images between patient groups", Proc. SPIE 2035, Mathematical Methods in Medical Imaging II, (23 June 1993); https://doi.org/10.1117/12.146601
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Cited by 14 scholarly publications.
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KEYWORDS
Wavelets

Wavelet transforms

Image resolution

Medical imaging

Positron emission tomography

Signal to noise ratio

Brain

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