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Super-resolution (SR) aims at generating a high resolution image or image sequence from several slightly different low-resolution images. In previous work, we have showed that a Maximum A Posteriori (MAP) SR algorithm can yield significant image quality enhancement of the individual respiratory gated PET frames. However, in the past it has been also argued that image-based motion correction algorithms...
Respiratory synchronized acquisitions lead to noisy images. Super-resolution (SR) aims at generating a high-resolution image or image sequence from several slightly different low-resolution images. A maximum a posteriori (MAP) SR algorithm has been implemented and applied for simultaneous motion estimation and image quality enhancement of respiratory synchronized gated frames. The algorithm was tested...
Respiratory synchronized acquisitions lead to noisy images. Super-resolution techniques deal with the enhancement of several slightly different low-resolution images into a single high-resolution image. A maximum a-posteriori (MAP) super-resolution algorithm has been implemented and applied to respiratory gated PET images for motion compensation. The algorithm was tested on a GATE simulated datasets...
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