Statistical analysis of PET images: extracting variance from a single scan

Abstract

Statistical comparisons of images under different conditions (e.g. abnormal vs. normal) require multiple images per condition in order to estimate the variance. This paper presents a new method for calculating the variance from a single scan using image subsampling to remove possible spatial correlation which would bias and reduce the variance. The method… (More)

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