Title :
Statistical analysis of image differences by wavelet decomposition
Author :
Ruttimann, Urs E. ; Unser, Michael ; Rio, Daniel
Author_Institution :
Nat. Inst. on Alcohol Abuse & Alcoholism, Nat. Inst. of Health, Bethesda, MD, USA
Abstract :
The wavelet transform was studied for the analysis of glucose utilization differences between subject groups shown in PET images. To strengthen statistical inference, it was of particular interest investigating the trade-off between signal localization and image decomposition into uncorrelated components. This trade-off is governed by wavelet regularity, and was found to be best for third-order orthogonal spline wavelets. Only about 1.6% of the components were statistically different (p<.05) from noise, constituting a sufficient set to synthesize local image differences by the inverse wavelet transform
Keywords :
medical image processing; positron emission tomography; statistical analysis; wavelet transforms; PET images; diagnostic nuclear medicine; glucose utilization differences analysis; image decomposition; image differences statistical analysis; inverse wavelet transform; local image differences synthesis; signal localization; statistical inference; third-order orthogonal spline wavelets; wavelet decomposition; wavelet regularity; Alcoholic beverages; Alcoholism; Decorrelation; Fourier transforms; Image analysis; Image decomposition; Positron emission tomography; Signal synthesis; Spline; Statistical analysis; Sugar; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.412135
