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This paper presents preliminary results on the fusion of denoised PET and SPECT data volumes from brushlet and wavelet thresholding methods. Texture-based brushlet denoising is well suited for enhancement of physiological information while wavelet-based denoising is better suited for enhancement of anatomical contours. A three-dimensional multiscale edge-based data fusion algorithm is applied to combine...
This paper provides the fundamental basis for model observers on decompressed images by the understanding of compression noise statistics. In medical applications, model observers have been successfully used to predict human observer performance and to empirically evaluate image quality for detection tasks on various backgrounds. To derive closed-form expressions for model observers, however, requires...
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